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Sample records for breast mass detection

  1. Using ductoscopy to detect breast mass at an early stage.

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    Sparks, Carol A

    2002-11-01

    Using a new procedure termed fiberoptic ductoscopy, a surgeon can visualize a patient's breast mammary ducts directly with a 0.9-mm scope. Eighty-five percent of breast cancers are thought to originate in the epithelial lining of the mammary ducts. The hope is that this new technique will allow surgeons to detect breast cancer in high-risk patients before a mass is felt or seen via mammography.

  2. Label-free detection of breast masses using multiphoton microscopy.

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    Xiufeng Wu

    Full Text Available Histopathology forms the gold standard for the diagnosis of breast cancer. Multiphoton microscopy (MPM has been proposed to be a potentially powerful adjunct to current histopathological techniques. A label-free imaging based on two- photon excited fluorescence and second-harmonic generation is developed for differentiating normal breast tissues, benign, as well as breast cancer tissues. Human breast biopsies (including human normal breast tissues, benign as well as breast cancer tissues that are first imaged (fresh, unfixed, and unstained with MPM and are then processed for routine H-E histopathology. Our results suggest that the MPM images, obtained from these unprocessed biopsies, can readily distinguish between benign lesions and breast cancers. In the tissues of breast cancers, MPM showed that the tumor cells displayed marked cellular and nuclear pleomorphism. The tumor cells, characterized by irregular size and shape, enlarged nuclei, and increased nuclear-cytoplasmic ratio, infiltrated into disrupted connective tissue, leading to the loss of second-harmonic generation signals. For breast cancer, MPM diagnosis was 100% correct because the tissues of breast cancers did not have second-harmonic generation signals in MPM imaging. On the contrary, in benign breast masses, second-harmonic generation signals could be seen easily in MPM imaging. These observations indicate that MPM could be an important potential tool to provide label-free noninvasive diagnostic impressions that can guide surgeon in biopsy and patient management.

  3. Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts

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    Nafiza Saidin

    2013-01-01

    Full Text Available Breast cancer mostly arises from the glandular (dense region of the breast. Consequently, breast density has been found to be a strong indicator for breast cancer risk. Therefore, there is a need to develop a system which can segment or classify dense breast areas. In a dense breast, the sensitivity of mammography for the early detection of breast cancer is reduced. It is difficult to detect a mass in a breast that is dense. Therefore, a computerized method to separate the existence of a mass from the glandular tissues becomes an important task. Moreover, if the segmentation results provide more precise demarcation enabling the visualization of the breast anatomical regions, it could also assist in the detection of architectural distortion or asymmetry. This study attempts to segment the dense areas of the breast and the existence of a mass and to visualize other breast regions (skin-air interface, uncompressed fat, compressed fat, and glandular in a system. The graph cuts (GC segmentation technique is proposed. Multiselection of seed labels has been chosen to provide the hard constraint for segmentation of the different parts. The results are promising. A strong correlation ( was observed between the segmented dense breast areas detected and radiological ground truth.

  4. Detection and characterization of breast masses with ultrasound tomography: clinical results

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    Duric, Neb; Littrup, Peter; Li, Cuiping; Rama, Olsi; Bey-Knight, Lisa; Schmidt, Steven; Lupinacci, Jessica

    2009-02-01

    We report on a continuing assessment of the in-vivo performance of an operator independent breast imaging device based on the principles of acoustic tomography. This study highlights the feasibility of mass characterization using criteria derived from reflection, sound speed and attenuation imaging. The data were collected with a clinical prototype at the Karmanos Cancer Institute in Detroit MI from patients recruited at our breast center. Tomographic sets of images were constructed from the data and used to form 3-D image stacks corresponding to the volume of the breast. Masses were identified independently by either ultrasound or biopsy and their locations determined from conventional mammography and ultrasound exams. The nature of the mass and its location were used to assess the feasibility of our prototype to detect and characterize masses in a case-following scenario. Our techniques generated whole breast reflection images as well as images of the acoustic parameters of sound speed and attenuation. The combination of these images reveals major breast anatomy, including fat, parenchyma, fibrous stroma and masses. The three types of images are intrinsically co-registered because the reconstructions are performed using a common data set acquired by the prototype. Fusion imaging, utilizing thresholding, is shown to visualize mass characterization and facilitates separation of cancer from benign masses. These initial results indicate that operatorindependent whole-breast imaging and the detection and a characterization of cancerous breast masses are feasible using acoustic tomography techniques.

  5. Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classification

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    Choi, Jae Young; Kim, Dae Hoe; Plataniotis, Konstantinos N.; Ro, Yong Man

    2014-07-01

    We propose a novel computer-aided detection (CAD) framework of breast masses in mammography. To increase detection sensitivity for various types of mammographic masses, we propose the combined use of different detection algorithms. In particular, we develop a region-of-interest combination mechanism that integrates detection information gained from unsupervised and supervised detection algorithms. Also, to significantly reduce the number of false-positive (FP) detections, the new ensemble classification algorithm is developed. Extensive experiments have been conducted on a benchmark mammogram database. Results show that our combined detection approach can considerably improve the detection sensitivity with a small loss of FP rate, compared to representative detection algorithms previously developed for mammographic CAD systems. The proposed ensemble classification solution also has a dramatic impact on the reduction of FP detections; as much as 70% (from 15 to 4.5 per image) at only cost of 4.6% sensitivity loss (from 90.0% to 85.4%). Moreover, our proposed CAD method performs as well or better (70.7% and 80.0% per 1.5 and 3.5 FPs per image respectively) than the results of mammography CAD algorithms previously reported in the literature.

  6. Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms

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    Chan, Heang-Ping; Wei, Jun; Sahiner, Berkman; Hadjiiski, Lubomir; Helvie, Mark A.

    2009-02-01

    We are developing a CAD system for mass detection on digital breast tomosynthesis (DBT) mammograms. In this study, we compared the detection accuracy on DBT and conventional screen-film mammograms (SFMs). DBT mammograms were acquired with a GE prototype system at the University of Michigan. 47 cases containing the CC- and MLO-view DBT mammograms of the breast with a biopsy-proven mass and the corresponding two-view SFMs of the same breast were collected. Subjective judgment showed that the masses were much more conspicuous on DBT slices than on SFMs. The CAD system for DBT includes two parallel processes, one performs mass detection in the reconstructed DBT volume, and the other in the projection view (PV) images. The mass likelihood scores estimated for each mass candidate in the two processes are merged to differentiate masses and false positives (FPs). For detection on SFMs, we previously developed a dual system approach by fusing two single CAD systems optimized for detection of average and subtle masses, respectively. A trained neural network is used to merge the mass likelihood scores of the two single systems to reduce FPs. At the case-based sensitivities of 80% and 85%, mass detection in the DBT volume resulted in an average of 0.72 and 1.06 FPs/view, and detection in the SFMs yielded 0.94 and 1.67 FPs/view, respectively. The difference fell short of statistical significance (p=0.07) by JAFROC analysis. Study is underway to collect a larger data set and to further improve the DBT CAD system.

  7. Incidental breast masses detected by computed tomography: are any imaging features predictive of malignancy?

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    Porter, G. [Primrose Breast Care Unit, Derriford Hospital, Plymouth (United Kingdom)], E-mail: Gareth.Porter@phnt.swest.nhs.uk; Steel, J.; Paisley, K.; Watkins, R. [Primrose Breast Care Unit, Derriford Hospital, Plymouth (United Kingdom); Holgate, C. [Department of Histopathology, Derriford Hospital, Plymouth (United Kingdom)

    2009-05-15

    Aim: To review the outcome of further assessment of breast abnormalities detected incidentally by multidetector computed tomography (MDCT) and to determine whether any MDCT imaging features were predictive of malignancy. Material and methods: The outcome of 34 patients referred to the Primrose Breast Care Unit with breast abnormalities detected incidentally using MDCT was prospectively recorded. Women with a known diagnosis of breast cancer were excluded. CT imaging features and histological diagnoses were recorded and the correlation assessed using Fisher's exact test. Results: Of the 34 referred patients a malignant diagnosis was noted in 11 (32%). There were 10 breast malignancies (seven invasive ductal carcinomas, one invasive lobular carcinoma, two metastatic lesions) and one axillary lymphoma. CT features suggestive of breast malignancy were spiculation [6/10 (60%) versus 0/24 (0%) p = 0.0002] and associated axillary lymphadenopathy [3/10 (33%) versus 0/20 (0%) p = 0.030]. Conversely, a well-defined mass was suggestive of benign disease [10/24 (42%) versus 0/10 (0%); p = 0.015]. Associated calcification, ill-definition, heterogeneity, size, and multiplicity of lesions were not useful discriminating CT features. There was a non-significant trend for lesions in involuted breasts to be more frequently malignant than in dense breasts [6/14 (43%) versus 4/20 (20%) p = 0.11]. Conclusion: In the present series there was a significant rate (32%) of malignancy in patients referred to the breast clinic with CT-detected incidental breast lesions. The CT features of spiculation or axillary lymphadenopathy are strongly suggestive of malignancy.

  8. Detection and Description of Small Breast Masses by Residents Trained Using a Standardized Clinical Breast Exam Curriculum

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    Austin, Donald F.; Prouser, Nancy C.

    2007-01-01

    OBJECTIVES We evaluated the effect of standardized clinical breast examination (CBE) training on residents’ ability to detect a 3-mm breast mass in a silicone breast model. METHODS In this nonrandomized controlled trial, 75 first year residents (R1s) at 8 family medicine, internal medicine, and obstetrics and gynecology training programs received the intervention and second year residents (R2s) did not. Trained residency faculty taught R1s vertical strip, three-pressure method (VS3PM) CBE using a standardized curriculum, including a 1- to 2-hour online self-study with video and 2.5-hour practicum using silicone models and a trained patient surrogate. RESULTS Solitary mass detection: 84% by R1s, 46% by R2s (RR = 1.82, 95%CI = 1.36, 2.43, P < 0.0001). Of those finding a mass, 62% of R1s and 10% of R2s used at least 5 of 8 standardized descriptors (RR = 6.19, 95%CI = 2.06, 18.59, P = 0.001). R1s false positive findings were not statistically different from R2s (P = 0.54). Both the use of VS3PM and total time spent on CBE were independently highly predictive of finding the mass in either group. CONCLUSIONS Most untrained primary care residents are not proficient in CBE. Standardized VS3PM CBE training improves the ability to detect and describe a small mass in a silicone breast model. Better CBE training for residents may improve the early detection of breast cancer. PMID:18058184

  9. Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography

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    Lesniak, J.M.; Hupse, R.; Blanc, R.; Karssemeijer, N.; Sz\\'ekely, G.

    2012-01-01

    False positive (FP) marks represent an obstacle for effective use of computer-aided detection (CADe) of breast masses in mammography. Typically, the problem can be approached either by developing more discriminative features or by employing different classifier designs. In this paper, the usage of s

  10. Hydrophobic Fractionation Enhances Novel Protein Detection by Mass Spectrometry in Triple Negative Breast Cancer

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    Lu, Ming; Whitelegge, Julian P.; Whelan, Stephen A.; He, Jianbo; Saxton, Romaine E.; Faull, Kym F.; Chang, Helena R.

    2010-01-01

    It is widely believed that discovery of specific, sensitive and reliable tumor biomarkers can improve the treatment of cancer. The goal of this study was to develop a novel fractionation protocol targeting hydrophobic proteins as possible cancer cell membrane biomarkers. Hydrophobic proteins of breast cancer tissues and cell lines were enriched by polymeric reverse phase columns. The retained proteins were eluted and digested for peptide identification by nano-liquid chromatography with tandem mass spectrometry using a hybrid linear ion-trap Orbitrap. Hundreds of proteins were identified from each of these three specimens: tumors, normal breast tissue, and breast cancer cell lines. Many of the identified proteins defined key cellular functions. Protein profiles of cancer and normal tissues from the same patient were systematically examined and compared. Stem cell markers were overexpressed in triple negative breast cancer (TNBC) compared with non-TNBC samples. Because breast cancer stem cells are known to be resistant to radiation and chemotherapy, and can be the source of metastasis frequently seen in patients with TNBC, our study may provide evidence of molecules promoting the aggressiveness of TNBC. The initial results obtained using a combination of hydrophobic fractionation and nano-LC mass spectrometry analysis of these proteins appear promising in the discovery of potential cancer biomarkers. When sufficiently refined, this approach may prove useful for early detection and better treatment of breast cancer. PMID:20596302

  11. Radiologists' performance in the detection of benign and malignant masses with 3D automated breast ultrasound (ABUS)

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    Chang, Jung Min [Department of Radiology and Clinical Research Institute, Seoul National University Hospital and the Institute of Radiation Medicine, Seoul National University Medical Research Center (Korea, Republic of); Moon, Woo Kyung, E-mail: moonwk@radcom.snu.ac.kr [Department of Radiology and Clinical Research Institute, Seoul National University Hospital and the Institute of Radiation Medicine, Seoul National University Medical Research Center (Korea, Republic of); Cho, Nariya [Department of Radiology and Clinical Research Institute, Seoul National University Hospital and the Institute of Radiation Medicine, Seoul National University Medical Research Center (Korea, Republic of); Park, Jeong Seon [Department of Radiology, Hanyang University College of Medicine, Hanyang University Hospital (Korea, Republic of); Kim, Seung Ja [Department of Radiology, Seoul National Universtiy Boramea Hospital (Korea, Republic of)

    2011-04-15

    Objectives: To retrospectively evaluate the detection performance of benign and malignant breast masses using 3D volume data obtained by ABUS and to determine lesion variables which affect detectability. Methods: Between November and December of 2007, bilateral whole breast US images were obtained using ABUS in 67 consecutive women who were scheduled to undergo US-guided needle biopsy due to suspicious breast masses. Twenty-four invasive ductal cancers in 23 breasts, 46 benign breast lesions in 44 breasts and 38 normal breasts were included. Three breast radiologists (experience range, 8-16 years) who did not perform the examinations and were blinded to the histology independently reviewed the ABUS data of the 105 breasts to detect suspicious solid masses with pathology as the standard of reference. Sensitivity and specificity in detecting benign and malignant masses were calculated, and lesion characteristics affecting detectability were analyzed. Results: Sensitivities for benign and malignant mass detections were 65.2% (30/46), 95.8% (23/24) for reader 1 (p = 0.007), 66.7% (31/46), 87.5% (21/24) for reader 2 (p = 0.087), and 56.3% (24/46), 91.7% (22/24), for reader 3 (p = 0.001), respectively. Logistic analysis showed that mass size (odds ratio, 95% CI; 1.12, 1.02-1.24), surrounding tissue changes (odds ratio, 95% CI; 0.11, 0.02-0.47), and shape of the mass (odds ratio, 95% CI; 3.12, 1.02-9.55) were the variables associated with detectability at ABUS. Conclusion: In reader studies using ABUS data, significantly higher sensitivity was noted for malignant breast masses than for benign masses.

  12. Clinical application of S-Detect to breast masses on ultrasonography: A study evaluating the diagnostic performance and agreement with a dedicated breast radiologist

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    Kim, Ki Wook; Kim, Eun Kyung; Yoon, Jung Hyun [Dept. of Radiology, Severance Hospital, Research Institute of Radiological Science, Seoul (Korea, Republic of); Song, Mi Kyung [Dept. of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul (Korea, Republic of)

    2017-01-15

    The purpose of this study was to evaluate the diagnostic performance of S-Detect when applied to breast ultrasonography (US), and the agreement with an experienced radiologist specializing in breast imaging. From June to August 2015, 192 breast masses in 175 women were included. US features of the breast masses were retrospectively analyzed by a radiologist who specializes in breast imaging and S-Detect, according to the fourth edition of the American College of Radiology Breast Imaging Reporting and Data System lexicon and final assessment categories. Final assessments from S-Detect were in dichotomized form: possibly benign and possibly malignant. Kappa statistics were used to analyze the agreement between the radiologist and S-Detect. Diagnostic performance of the radiologist and S-Detect was calculated, including sensitivity, specificity, positive predictive value (PPV), negative predictive value, accuracy, and area under the receiving operator characteristics curve. Of the 192 breast masses, 72 (37.5%) were malignant, and 120 (62.5%) were benign. Benign masses among category 4a had higher rates of possibly benign assessment on S-Detect for the radiologist, 63.5% to 36.5%, respectively (P=0.797). When the cutoff was set at category 4a, the specificity, PPV, and accuracy was significantly higher in S-Detect compared to the radiologist (all P<0.05), with a higher area under the receiver operator characteristics curve of 0.725 compared to 0.653 (P=0.038). Moderate agreement (k=0.58) was seen in the final assessment between the radiologist and S-Detect. S-Detect may be used as an additional diagnostic tool to improve the specificity of breast US in clinical practice, and guide in decision making for breast masses detected on US.

  13. Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures

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    Singh, Swatee; Tourassi, Georgia D.; Lo, Joseph Y.

    2007-03-01

    The purpose of this project is to study Computer Aided Detection (CADe) of breast masses for digital tomosynthesis. It is believed that tomosynthesis will show improvement over conventional mammography in detection and characterization of breast masses by removing overlapping dense fibroglandular tissue. This study used the 60 human subject cases collected as part of on-going clinical trials at Duke University. Raw projections images were used to identify suspicious regions in the algorithm's high-sensitivity, low-specificity stage using a Difference of Gaussian (DoG) filter. The filtered images were thresholded to yield initial CADe hits that were then shifted and added to yield a 3D distribution of suspicious regions. These were further summed in the depth direction to yield a flattened probability map of suspicious hits for ease of scoring. To reduce false positives, we developed an algorithm based on information theory where similarity metrics were calculated using knowledge databases consisting of tomosynthesis regions of interest (ROIs) obtained from projection images. We evaluated 5 similarity metrics to test the false positive reduction performance of our algorithm, specifically joint entropy, mutual information, Jensen difference divergence, symmetric Kullback-Liebler divergence, and conditional entropy. The best performance was achieved using the joint entropy similarity metric, resulting in ROC A z of 0.87 +/- 0.01. As a whole, the CADe system can detect breast masses in this data set with 79% sensitivity and 6.8 false positives per scan. In comparison, the original radiologists performed with only 65% sensitivity when using mammography alone, and 91% sensitivity when using tomosynthesis alone.

  14. Computer aided diagnosis for breast masses detection on a telemammography system.

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    Méndez, Arturo J; Souto, Miguel; Tahoces, Pablo G; Vidal, Juan J

    2003-01-01

    A Computer-Aided Diagnosis (CAD) scheme for breast masses detection has been developed and integrated as a part of a telemammography system. This work derives from the close cooperation between the Laboratory for Radiologic Image Research of the University of Santiago de Compostela (Spain) and the company Intelsis Sistemas Inteligentes (Santiago de Compostela, Spain). This cooperation has been supported by funds from different projects, mainly from the European Union, the Spanish Health Administration, and the Galician Public Health's Service. As a result, a first prototype is ready to begin a demonstration project.

  15. Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network

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    Hiramatsu, Yuya; Muramatsu, Chisako; Kobayashi, Hironobu; Hara, Takeshi; Fujita, Hiroshi

    2017-03-01

    Breast cancer screening with mammography and ultrasonography is expected to improve sensitivity compared with mammography alone, especially for women with dense breast. An automated breast volume scanner (ABVS) provides the operator-independent whole breast data which facilitate double reading and comparison with past exams, contralateral breast, and multimodality images. However, large volumetric data in screening practice increase radiologists' workload. Therefore, our goal is to develop a computer-aided detection scheme of breast masses in ABVS data for assisting radiologists' diagnosis and comparison with mammographic findings. In this study, false positive (FP) reduction scheme using deep convolutional neural network (DCNN) was investigated. For training DCNN, true positive and FP samples were obtained from the result of our initial mass detection scheme using the vector convergence filter. Regions of interest including the detected regions were extracted from the multiplanar reconstraction slices. We investigated methods to select effective FP samples for training the DCNN. Based on the free response receiver operating characteristic analysis, simple random sampling from the entire candidates was most effective in this study. Using DCNN, the number of FPs could be reduced by 60%, while retaining 90% of true masses. The result indicates the potential usefulness of DCNN for FP reduction in automated mass detection on ABVS images.

  16. Towards Visual-Search Model Observers for Mass Detection in Breast Tomosynthesis.

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    Lau, Beverly A; Das, Mini; Gifford, Howard C

    2013-03-21

    We are investigating human-observer models that perform clinically realistic detection and localization tasks as a means of making reliable assessments of digital breast tomosynthesis images. The channelized non-prewhitening (CNPW) observer uses the background known exactly task for localization and detection. Visual-search observer models attempt to replicate the search patterns of trained radiologists. The visual-search observer described in this paper utilizes a two-phase approach, with an initial holistic search followed by directed analysis and decision making. Gradient template matching is used for the holistic search, and the CNPW observer is used for analysis and decision making. Spherical masses were embedded into anthropomorphic breast phantoms, and simulated projections were made using ray-tracing and a serial cascade model. A localization ROC study was performed on these images using the visual-search model observer and the CNPW observer. Observer performance from the two computer observers was compared to human observer performance. The visual-search observer was able to produce area under the LROC curve values similar to those from human observers; however, more research is needed to increase the robustness of the algorithm.

  17. Effect of slice thickness on detectability in breast CT using a prewhitened matched filter and simulated mass lesions

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    Packard, Nathan J.; Abbey, Craig K.; Yang, Kai; Boone, John M.

    2012-01-01

    Purpose: Dedicated breast CT (bCT) is an emerging technology with the potential to improve the detection of breast cancer in screening and diagnostic capacities. Typically, the 3D volume reconstructed from the scanner is displayed as sectional images. The purpose of this study was to evaluate the effect of section thickness on the detectability of simulated masses using a prewhitened matched filter (PWMF) as a model observer. Methods: A breast CT scanner has been designed and fabricated in the authors’ laboratory with more than 200 women imaged in IRB-approved phase I and phase II trials to date. Of these, 151 bilateral data sets were selected on the basis of low artifact content, sufficient breast coverage, and excluding cases with breast implants. BIRADS breast density ratings were available for 144 of these patients. Spherical mass lesions of diameter 1, 2, 3, 5, 11, and 15 mm were mathematically generated and embedded at random locations within the parenchymal region of each bCT volume. Microcalcifications were not simulated in this study. For each viewing plane (sagittal, axial, and coronal) and section thickness (ranging from 0.3 to 44 mm), section images of the breast parenchyma containing the lesion were generated from the reconstructed bCT data sets by averaging voxels over the length of the section. Using signal known exactly (SKE) model observer methodology, receiver operating characteristic (ROC) curve analysis was performed on each generated projected image using a PWMF based model observer. ROC curves were generated for each breast data set, and the area under the ROC curve (AUC) was evaluated as well as the sensitivity at 95% specificity. Results: For all lesion sizes, performance rises modestly to a peak before falling off substantially as section thickness increases over the range of the study. We find that the optimal section thickness tracks the size of the lesion to be detected linearly with a small positive offset and slopes ranging from 0

  18. Detection of Metastatic Breast and Thyroid Cancer in Lymph Nodes by Desorption Electrospray Ionization Mass Spectrometry Imaging

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    Zhang, Jialing; Feider, Clara L.; Nagi, Chandandeep; Yu, Wendong; Carter, Stacey A.; Suliburk, James; Cao, Hop S. Tran; Eberlin, Livia S.

    2017-02-01

    Ambient ionization mass spectrometry has been widely applied to image lipids and metabolites in primary cancer tissues with the purpose of detecting and understanding metabolic changes associated with cancer development and progression. Here, we report the use of desorption electrospray ionization mass spectrometry (DESI-MS) to image metastatic breast and thyroid cancer in human lymph node tissues. Our results show clear alterations in lipid and metabolite distributions detected in the mass spectra profiles from 42 samples of metastatic thyroid tumors, metastatic breast tumors, and normal lymph node tissues. 2D DESI-MS ion images of selected molecular species allowed discrimination and visualization of specific histologic features within tissue sections, including regions of metastatic cancer, adjacent normal lymph node, and fibrosis or adipose tissues, which strongly correlated with pathologic findings. In thyroid cancer metastasis, increased relative abundances of ceramides and glycerophosphoinisitols were observed. In breast cancer metastasis, increased relative abundances of various fatty acids and specific glycerophospholipids were seen. Trends in the alterations in fatty acyl chain composition of lipid species were also observed through detailed mass spectra evaluation and chemical identification of molecular species. The results obtained demonstrate DESI-MSI as a potential clinical tool for the detection of breast and thyroid cancer metastasis in lymph nodes, although further validation is needed.

  19. Detection of Metastatic Breast and Thyroid Cancer in Lymph Nodes by Desorption Electrospray Ionization Mass Spectrometry Imaging

    Science.gov (United States)

    Zhang, Jialing; Feider, Clara L.; Nagi, Chandandeep; Yu, Wendong; Carter, Stacey A.; Suliburk, James; Cao, Hop S. Tran; Eberlin, Livia S.

    2017-06-01

    Ambient ionization mass spectrometry has been widely applied to image lipids and metabolites in primary cancer tissues with the purpose of detecting and understanding metabolic changes associated with cancer development and progression. Here, we report the use of desorption electrospray ionization mass spectrometry (DESI-MS) to image metastatic breast and thyroid cancer in human lymph node tissues. Our results show clear alterations in lipid and metabolite distributions detected in the mass spectra profiles from 42 samples of metastatic thyroid tumors, metastatic breast tumors, and normal lymph node tissues. 2D DESI-MS ion images of selected molecular species allowed discrimination and visualization of specific histologic features within tissue sections, including regions of metastatic cancer, adjacent normal lymph node, and fibrosis or adipose tissues, which strongly correlated with pathologic findings. In thyroid cancer metastasis, increased relative abundances of ceramides and glycerophosphoinisitols were observed. In breast cancer metastasis, increased relative abundances of various fatty acids and specific glycerophospholipids were seen. Trends in the alterations in fatty acyl chain composition of lipid species were also observed through detailed mass spectra evaluation and chemical identification of molecular species. The results obtained demonstrate DESI-MSI as a potential clinical tool for the detection of breast and thyroid cancer metastasis in lymph nodes, although further validation is needed. [Figure not available: see fulltext.

  20. Study of the Effect of Breast Tissue Density on Detection of Masses in Mammograms

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    A. García-Manso

    2013-01-01

    Full Text Available One of the parameters that are usually stored for mammograms is the BI-RADS density, which gives an idea of the breast tissue composition. In this work, we study the effect of BI-RADS density in our ongoing project for developing an image-based CAD system to detect masses in mammograms. This system consists of two stages. First, a blind feature extraction is performed for regions of interest (ROIs, using Independent Component Analysis (ICA. Next, in the second stage, those features form the input vectors to a classifier, neural network, or SVM classifier. To train and test our system, the Digital Database for Screening Mammography (DDSM was used. The results obtained show that the maximum variation in the performance of our system considering only prototypes obtained from mammograms with a concrete value of density (both for training and test is about 7%, yielding the best values for density equal to 1, and the worst for density equal to 4, for both classifiers. Finally, with the overall results (i.e., using prototypes from mammograms with all the possible values of densities, we obtained a difference in performance that is only 2% lower than the maximum, also for both classifiers.

  1. Temporal Subtraction of Digital Breast Tomosynthesis Images for Improved Mass Detection

    Science.gov (United States)

    2007-10-01

    number of low-dose cone-beam projection images", Medical Physics 30 (3), 365 (2003). 9 E.A. Sickles, W.N. Weber, H.B. Galvin, S.H. Ominsky, and R.A...temporal pairs of mammograms for interval change analysis--local affine transformation for improved localization", Medical Physics 28 (6), 1070 (2001...aided classification of malignant and benign breast masses", Medical Physics 28 (11), 2309 (2001). 25 K. Marias, C. Behrenbruch, S. Parbhoo, A

  2. A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection

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    Wang Q

    2016-03-01

    Full Text Available Qingjun Wang,1,2,* Tao Sun,3,* Yunfeng Cao,1,2,4,5 Peng Gao,2,4,6 Jun Dong,2,4 Yanhua Fang,2 Zhongze Fang,2 Xiaoyu Sun,2 Zhitu Zhu1,2 1Oncology Department 2, The First Affiliated Hospital of Liaoning Medical University, 2Personalized Treatment and Diagnosis Research Center, The First Affiliated Hospital of Liaoning Medical University and Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Jinzhou, 3Department of Internal Medicine 1, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Insititute, Shenyang, 4CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 5Key Laboratory of Contraceptives and Devices Research (NPFPC, Shanghai Engineer and Technology Research Center of Reproductive Health Drug and Devices, Shanghai Institute of Planned Parenthood Research, Shanghai, 6Clinical Laboratory, Dalian Sixth People’s Hospital, Dalian, People’s Republic of China *These authors contributed equally to this work Objective: Breast cancer (BC is still a lethal threat to women worldwide. An accurate screening and diagnosis strategy performed in an easy-to-operate manner is highly warranted in clinical perspective. Besides the routinely focused protein markers, blood is full of small molecular metabolites with diverse structures and properties. This study aimed to screen metabolite markers with BC diagnosis potentials.Methods: A dried blood spot-based direct infusion mass spectrometry (MS metabolomic analysis was conducted for BC and non-BC differentiation. The targeted analytes included 23 amino acids and 26 acylcarnitines.Results: Multivariate analysis screened out 21 BC-related metabolites in the blood. Regression analysis generated a diagnosis model consisting of parameters Pip, Asn, Pro, C14:1/C16, Phe/Tyr, and Gly/Ala. Tested with another set of BC and non-BC samples, this model showed a sensitivity of 92.2% and a specificity

  3. Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation

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    Lee, Changwoo; Baek, Jongduk; Park, Subok

    2016-03-01

    Digital breast tomosynthesis (DBT) is an emerging imaging modality for improved breast cancer detection and diagnosis [1-5]. Numerous efforts have been made to find quantitative metrics associated with mammographic image quality assessment, such as the exponent β of anatomical noise power spectrum, glandularity, contrast noise ratio, etc. [6-8]. In addition, with the use of Fourier-domain detectability for a task-based assessment of DBT, a stationarity assumption on reconstructed image statistics was often made [9-11], resulting in the use of multiple regions-of-interest (ROIs) from different locations in order to increase sample size. While all these metrics provide some information on mammographic image characteristics and signal detection, the relationship between these metrics and detectability in DBT evaluation has not been fully understood. In this work, we investigated spatial-domain detectability trends and levels as a function of the number of slices Ns at three different ROI locations on the same image slice, where background statistics differ in terms of the aforementioned metrics. Detectabilities for the three ROI locations were calculated using multi-slice channelized Hotelling observers with 2D/3D Laguerre-Gauss channels. Our simulation results show that detectability levels and trends as a function of Ns vary across these three ROI locations. They also show that the exponent β, mean glandularity, and mean attenuation coefficient vary across the three ROI locations but they do not necessarily predict the ranking of detectability levels and trends across these ROI locations.

  4. A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

    Energy Technology Data Exchange (ETDEWEB)

    Young, Stefano [College of Optical Sciences, University of Arizona, Tucson, Arizona 85721 (United States); Bakic, Predrag R. [Radiology Department, University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States); Myers, Kyle J.; Jennings, Robert J.; Park, Subok [Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, FDA, Silver Spring, Maryland 20993 (United States)

    2013-05-15

    Purpose: Digital breast tomosynthesis (DBT) is a promising breast cancer screening tool that has already begun making inroads into clinical practice. However, there is ongoing debate over how to quantitatively evaluate and optimize these systems, because different definitions of image quality can lead to different optimal design strategies. Powerful and accurate tools are desired to extend our understanding of DBT system optimization and validate published design principles. Methods: The authors developed a virtual trial framework for task-specific DBT assessment that uses digital phantoms, open-source x-ray transport codes, and a projection-space, spatial-domain observer model for quantitative system evaluation. The authors considered evaluation of reconstruction algorithms as a separate problem and focused on the information content in the raw, unfiltered projection images. Specifically, the authors investigated the effects of scan angle and number of angular projections on detectability of a small (3 mm diameter) signal embedded in randomly-varying anatomical backgrounds. Detectability was measured by the area under the receiver-operating characteristic curve (AUC). Experiments were repeated for three test cases where the detectability-limiting factor was anatomical variability, quantum noise, or electronic noise. The authors also juxtaposed the virtual trial framework with other published studies to illustrate its advantages and disadvantages. Results: The large number of variables in a virtual DBT study make it difficult to directly compare different authors' results, so each result must be interpreted within the context of the specific virtual trial framework. The following results apply to 25% density phantoms with 5.15 cm compressed thickness and 500 {mu}m{sup 3} voxels (larger 500 {mu}m{sup 2} detector pixels were used to avoid voxel-edge artifacts): 1. For raw, unfiltered projection images in the anatomical-variability-limited regime, AUC appeared to

  5. Regularized discriminate analysis for breast mass detection on full field digital mammograms

    Science.gov (United States)

    Wei, Jun; Sahiner, Berkman; Zhang, Yiheng; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Zhou, Chuan; Ge, Jun; Wu, Yi-Ta

    2006-03-01

    In computer-aided detection (CAD) applications, an important step is to design a classifier for the differentiation of the abnormal from the normal structures. We have previously developed a stepwise linear discriminant analysis (LDA) method with simplex optimization for this purpose. In this study, our goal was to investigate the performance of a regularized discriminant analysis (RDA) classifier in combination with a feature selection method for classification of the masses and normal tissues detected on full field digital mammograms (FFDM). The feature selection scheme combined a forward stepwise feature selection process and a backward stepwise feature elimination process to obtain the best feature subset. An RDA classifier and an LDA classifier in combination with this new feature selection method were compared to an LDA classifier with stepwise feature selection. A data set of 130 patients containing 260 mammograms with 130 biopsy-proven masses was used. All cases had two mammographic views. The true locations of the masses were identified by experienced radiologists. To evaluate the performance of the classifiers, we randomly divided the data set into two independent sets of approximately equal size for training and testing. The training and testing were performed using the 2-fold cross validation method. The detection performance of the CAD system was assessed by free response receiver operating characteristic (FROC) analysis. The average test FROC curve was obtained by averaging the FP rates at the same sensitivity along the two corresponding test FROC curves from the 2-fold cross validation. At the case-based sensitivities of 90%, 80% and 70% on the test set, our RDA classifier with the new feature selection scheme achieved an FP rate of 1.8, 1.1, and 0.6 FPs/image, respectively, compared to 2.1, 1.4, and 0.8 FPs/image with stepwise LDA with simplex optimization. Our results indicate that RDA in combination with the sequential forward inclusion

  6. Ultrasound characterization of breast masses

    Science.gov (United States)

    Gokhale, Sudheer

    2009-01-01

    A lump in the breast is a cause of great concern. High frequency, high-resolution USG helps in its evaluation. This is exemplified in women with dense breast tissue where USG is useful in detecting small breast cancers that are not seen on mammography. Several studies in the past have addressed the issue of differentiating benign from malignant lesions in the breast. The American College of Radiology has also brought out a BIRADS-US classification system for categorizing focal breast lesions. PMID:19881096

  7. Breast Cancer Early Detection and Diagnosis

    Science.gov (United States)

    ... En Español Category Cancer A-Z Breast Cancer Breast Cancer Early Detection and Diagnosis Breast cancer is sometimes ... cancer screening is so important. Learn more. Can Breast Cancer Be Found Early? Breast cancer is sometimes found ...

  8. Is clinical breast examination important for breast cancer detection?

    Science.gov (United States)

    Provencher, L.; Hogue, J.C.; Desbiens, C.; Poirier, B.; Poirier, E.; Boudreau, D.; Joyal, M.; Diorio, C.; Duchesne, N.; Chiquette, J.

    2016-01-01

    Background Screening clinical breast examination (cbe) is controversial; the use of cbe is declining not only as a screening tool, but also as a diagnostic tool. In the present study, we aimed to assess the value of cbe in breast cancer detection in a tertiary care centre for breast diseases. Methods This retrospective study of all breast cancers diagnosed between July 1999 and December 2010 at our centre categorized cases according to the mean of detection (cbe, mammography, or both). A cbe was considered “abnormal” in the presence of a mass, nipple discharge, skin or nipple retraction, edema, erythema, peau d’orange, or ulcers. Results During the study period, a complete dataset was available for 6333 treated primary breast cancers. Cancer types were ductal carcinoma in situ (15.3%), invasive ductal carcinoma (75.7%), invasive lobular carcinoma (9.0%), or others (2.2%). Of the 6333 cancers, 36.5% (n = 2312) were detected by mammography alone, 54.8% (n = 3470) by mammography and cbe, and 8.7% (n = 551) by physician-performed cbe alone (or 5.3% if considering ultrasonography). Invasive tumours diagnosed by cbe alone were more often triple-negative, her2-positive, node-positive, and larger than those diagnosed by mammography alone (p < 0.05). Conclusions A significant number of cancers would have been missed if cbe had not been performed. Compared with cancers detected by mammography alone, those detected by cbe had more aggressive features. Clinical breast examination is a very low-cost test that could improve the detection of breast cancer and could prompt breast ultrasonography in the case of a negative mammogram. PMID:27536182

  9. Protein Alterations in Infiltrating Ductal Carcinomas of the Breast as Detected by Nonequilibrium pH Gradient Electrophoresis and Mass Spectrometry

    Directory of Open Access Journals (Sweden)

    Maria Kabbage

    2008-01-01

    Full Text Available Improvement of breast-cancer detection through the identification of potential cancer biomarkers is considered as a promising strategy for effective assessment of the disease. The current study has used nonequilibrium pH gradient electrophoresis with subsequent analysis by mass spectrometry to identify protein alterations in invasive ductal carcinomas of the breast from Tunisian women. We have identified multiple protein alterations in tumor tissues that were picked, processed, and unambiguously assigned identities by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF. The proteins identified span a wide range of functions and are believed to have potential clinical applications as cancer biomarkers. They include glycolytic enzymes, molecular chaperones, cytoskeletal-related proteins, antioxydant enzymes, and immunologic related proteins. Among these proteins, enolase 1, phosphoglycerate kinase 1, deoxyhemoglobin, Mn-superoxyde dismutase, α-B-crystallin, HSP27, Raf kinase inhibitor protein, heterogeneous nuclear ribonucleoprotein A2/B1, cofilin 1, and peptidylprolyl isomerase A were overexpressed in tumors compared with normal tissues. In contrast, the IGHG1 protein, the complement C3 component C3c, which are two newly identified protein markers, were downregulated in IDCA tissues.

  10. Cholestrol granuloma of the breast incidentally detected on dynamic abdominal CT: A case report

    Energy Technology Data Exchange (ETDEWEB)

    Jeong, Sun Hye; Lee, Eun Hye; Hong, Hyun Sook; Kwak, Jeong Ja [Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon (Korea, Republic of)

    2016-01-15

    A breast cholesterol granuloma is an uncommon nodular breast lesion. We incidentally detected a persistently enhancing breast mass on the dynamic abdominal computed tomography (CT) of a 78-year-old woman. The mass decreased in diameter over 50 days following a core needle biopsy. This report is the first to describe the dynamic-enhanced CT features of a breast cholesterol granuloma.

  11. Breast Mass in a Rubens Painting

    Directory of Open Access Journals (Sweden)

    Davide Lazzeri

    2016-04-01

    Full Text Available Deformity of the breast and axilla observed in famous paintings is a fascinating field for the medico-artists. The attempt of a retrospective diagnosis of breast tumors is highly challenging. This paper deals with a Rubens painting portraying the heroine Judith with a visible but previously unreported left breast mass. Though speculative, the present medico-artistic diagnosis is of a tumor likely to be of benign nature. It is of interest that the present case is the sixth breast disease discovered in Rubens’s works.

  12. Breast Mass in a Rubens Painting.

    Science.gov (United States)

    Lazzeri, Davide; Lippi, Donatella; Castello, Manuel Francisco; Weisz, George M

    2016-04-19

    Deformity of the breast and axilla observed in famous paintings is a fascinating field for the medico-artists. The attempt of a retrospective diagnosis of breast tumors is highly challenging. This paper deals with a Rubens painting portraying the heroine Judith with a visible but previously unreported left breast mass. Though speculative, the present medico-artistic diagnosis is of a tumor likely to be of benign nature. It is of interest that the present case is the sixth breast disease discovered in Rubens's works.

  13. Breast cancer detection using phase contrast diffuse optical tomography

    Science.gov (United States)

    Liang, Xiaoping; Zhang, Qizhi; Li, Changqing; Grobmyer, Stephen R.; Fajardo, Laurie L.; Jiang, Huabei

    2007-02-01

    In this report, a phase-contrast diffuse optical tomography system, which can measure the refractive indices of human breast masses in vivo, is described. To investigate the utility of phase-contrast diffuse optical tomography (PCDOT) for differentiation of malignant and benign breast masses in humans, and to compare PCDOT with conventional diffuse optical tomography (DOT) for analysis of breast masses in humans. 35 breast masses were imaged in 33 patients (mean age = 51 years; range 22-80 years) using PCDOT. Images characterizing the tissue refractive index, absorption and scattering of breast masses were obtained with a finite element-based reconstruction algorithm. The accuracies of absorption and scattering images were compared with images of refractive index in light of the pathology results. Absorption and scattering images were unable to accurately discriminate benign from malignant lesions. Malignant lesions tended to have decreased refractive index allowing them to discriminate from benign lesions in most cases. The sensitivity, specificity, false positive value, and overall accuracy for refractive index were 81.8%, 70.8%, 29.2%, and 74.3%, respectively. Overall we show that benign and malignant breast masses in humans demonstrate different refractive index and differences in refractive index properties can be used to discriminate benign from malignant masses in patients with high accuracy. This opens up a new avenue for improved breast cancer detection using NIR diffusing light.

  14. Detection of masses and microcalcifications of breast cancer on digital mammograms: comparison among hard-copy film, 3-megapixel liquid crystal display (LCD) monitors and 5-megapixel LCD monitors: an observer performance study.

    Science.gov (United States)

    Kamitani, Takeshi; Yabuuchi, Hidetake; Soeda, Hiroyasu; Matsuo, Yoshio; Okafuji, Takashi; Sakai, Shuji; Furuya, Akio; Hatakenaka, Masamitsu; Ishii, Nobuhide; Honda, Hiroshi

    2007-05-01

    The purpose of the study was to compare observer performance in the detection of masses and microcalcifications of breast cancer among hard-copy reading and soft-copy readings using 3-megapixel (3M) and 5-megapixel (5M) liquid crystal display (LCD) monitors. For the microcalcification detection test, we prepared 100 mammograms: 40 surgically verified cancer cases and 60 normal cases. For the mass detection test, we prepared 100 mammograms: 50 cancer cases and 50 normal cases. After six readers assessed both microcalcifications and masses set for each modality, receiver operating characteristic (ROC) analysis was performed. The average A(z)s for mass detection using a hard copy and 3M and 5M LCD monitors were 0.923, 0.927 and 0.920, respectively; there were no significant differences. The average A(z) for microcalcification detection using hard copy, 3M and 5M LCD monitors was 0.977, 0.954 and 0.972, respectively. There were no significant differences, but the P-values between the hard copy and 3M LCD monitor and that between the 3M and 5M LCD monitor were 0.08 and 0.09, respectively. In conclusion, the observer performances for detecting masses of breast cancers were comparable among the hard copy and two LCD monitors; however, soft-copy reading with a 3M LCD monitor showed slightly lower observer performance for detecting microcalcifications of breast cancers than hard-copy or 5M LCD monitor reading.

  15. Mystery of bilateral breast masses

    Directory of Open Access Journals (Sweden)

    Nausheen Khan

    2011-12-01

    Full Text Available Leiomyosarcoma (LMS is an uncommon malignant tumour of smooth muscle origin. It arises in the gastro intestinal tract, retroperitoneum, urinary bladder, uterus and soft tissue. Peritoneal leiomyosarcomatosis (PL is defined as a peritoneal dissemination of a primary sarcoma. We present a case of leiomyosarcomatosis with wide spread dissemination including involvement of both breasts.

  16. Screening for Breast Cancer: Detection and Diagnosis

    Science.gov (United States)

    ... please turn JavaScript on. Feature: Screening For Breast Cancer Detection and Diagnosis Past Issues / Summer 2014 Table of Contents Screening ... Cancer" Articles #BeBrave: A life-saving test / Breast Cancer Basics and ... and Diagnosis / Staging and Treatment / Selected National Cancer Institute Breast ...

  17. DETECTION OF TELOMERASE ACTIVITY IN BREAST CARCINOMA

    Institute of Scientific and Technical Information of China (English)

    Yang Wentao; Xu Liangzhong; Zhang Taiming; Zhu weiping; Li Xiaomei; Jin Aiping

    1998-01-01

    Objective:To investigate the significance of telomerase activity in breast carcinoma with its respect to axillary lymph node status. Methods: Telomerase activity was analyzed in 88 breast carcinomas and 16benign breast lesions, using polymerase chain reaction (PCR)-based telomeric repeat amplification protocol (TRAP) assay. Results: Telomerase activity was detected in 75 (85%) of 88 breast carcinomas (including three breast carcinomas in situ which were all positive for telomerase activity), whereas in benign breast lesions analyzed only 2(12.5%) of 16 cases were positive for telomerase activity. The difference between the two groups was statistically significant (P<0.001). Besides,telomerase activity was expressed significantly higher in node-positive breast carcinoma (93%) than in nodenegative ones (77%) (P<0.05). Conclusion: Our results suggest that telomerase activation plays an important role during breast carcinoma development. It is possible that this enzyme may serve as an early indication of breast carcinoma.

  18. Value of Micropure Technology with Ultrasonography in Detecting Micro-calcification of Breast Masses%超声Micropure技术检测乳腺肿块微钙化的临床价值

    Institute of Scientific and Technical Information of China (English)

    罗志群; 隋秀芳

    2013-01-01

    Objective:To evaluate the clinical value of micropure technology with ultrasonography in detecting mi-cro-calcification of breast masses. Methods:87 breast masses were examined with high-frequency ultrasound and Mi-cropure technology,compared the ability in the detection micro calcification in breast benign, malignant tumors be-tween the two methods.Results:53 micro-calcification were detected by MicroPure imaging technology in patients with malignant tumor of breast,while 37 micro-calcification were detected by high frequency ultrasound in 87 breast masses, there was significant differences (P<0.05). 5 micro-calcification cases were detected in 21 benign breast masses (23.81%), and 48 micro-calcification cases were detected in 66 malignant masses(72.73%), with significant difference between the two groups (P<0.05). In 5 cases of benign micro-calcifications detected, 3 cases were scat-tered, 2 cases were less calcification. While in 48 cases detected micro-calcification in malignant masses, 30 cases of micro-calcification clusters (62.50%), 16 cases were scattered in the distribution (33.33%), 2 cases were less calcifi-cation (4.17%).Conclusions:The ability of ultrasonic Micropure technology showing breast microcalcification was stronger than conventional ultrasound. With or without micro-calcification, and the distribution characteristics of mi-cro-calcification in breast masses, may help to differentiate the nature of the lesions.%目的:探讨超声Micropure技术检测乳腺肿块中微钙化的临床应用价值。方法:对某医院87例乳腺超声检查发现的乳腺肿块,与术后病理结果对比,比较Micropure技术与常规超声在检测乳腺良、恶性肿块微钙化方面的差异。结果:87例乳腺病灶中,常规超声检查37例显示微钙化(占42.52%),使用Micropure技术53例显示微钙化(占60.92%),差异有统计学意义(P<0.05)。良性组21例检出5例微钙化(23.81%),恶性组66例检出48

  19. Mass eigendetection and the benefits of introducing breast density information

    Energy Technology Data Exchange (ETDEWEB)

    Freixenet, J.; Oliver, A.; Llado, X.; Marti, R.; Marti, J. [Inst. of Informatics and Applications, Univ. of Girona, Catalonia (Spain)

    2007-06-15

    The purpose of this paper is to present a novel algorithm for mass detection in a mammographic computer-aided diagnosis system. Four key points provide the novelty of our approach: (1) the use of eingenanalysis for describing variation in mass shape and size: (2) a Bayesian formulation providing a mathematical sound framework, flexible enough to include additional information; (3) the use of two dimensional PCA for false positive reduction; and (4) the incorporation of breast density information, an internal feature of the breasts closely related to the performance of most mass detection algorithms and which, in contrast, has not been considered in existing approaches. The robustness and the database independence of our approach are shown by the fact that different databases are used for training and testing procedures. (orig.)

  20. Multiple diagnostic approaches to palpable breast mass

    Energy Technology Data Exchange (ETDEWEB)

    Chin, Soo Yil; Kim, Kie Hwan; Moon, Nan Mo; Kim, Yong Kyu; Jang, Ja June [Korea Cancer Center Hospital, Seoul (Korea, Republic of)

    1985-12-15

    The combination of the various diagnostic methods of palpable breast mass has improved the diagnostic accuracy. From September 1983 to August 1985 pathologically proven 85 patients with palpable breast masses examined with x-ray mammography, ultrasonography, penumomammography and aspiration cytology at Korea Cancer Center Hospital were analyzed. The diagnostic accuracies of each methods were 77.6% of mammogram, 74.1% of ultrasonogram, 90.5% of penumomammogram and 92.4% of aspiration cytology. Pneumomammograms was accomplished without difficulty or complication and depicted more clearly delineated mass with various pathognomonic findings; air-ductal pattern in fibroadenoma (90.4%) and cystosarcoma phylloides (100%), air-halo in fibrocystic disease (14.2%), fibroadenoma (100%), cystosarcoma phylloides (100%), air-cystogram in cystic type of fibrocystic disease (100%) and vaculoar pattern or irregular air collection without retained peripheral gas in carcinoma.

  1. Screening of Breast Mass in Iraqi Females: Al-Kindy Hospital Breast Clinic

    Directory of Open Access Journals (Sweden)

    Wijdan Akram

    2009-01-01

    Full Text Available Problem statement: The aim of this study is to present the findings of a retrospective analysis in females with breast mass, the character of the women and the risk factors of breast cancer at Al-Kindy Breast Clinic Center. Approach: Data were collected during 2 months period using special form of questioner. The total number of studied sample was 60, which includes female patients living in Baghdad. Results: The highest prevalence of developing breast mass at age group 36-45 years, the majority of these women are housewives (81.7%, about (31.7% of the included sample were illiterate and only 10% graduated from college. (58.3% of the studied sample did not use contraception, while (30% of patients with breast mass had breast feeding on the other hand (70% did not had breast feeding, by self examination, (11.7% could not found the mass by themselves, (28.3% had a mass in the right breast, (50% had a mass in the left breast while (10% had the mass in both breasts. Conclusion: The study showed a high level of practice of breast-self examination among women in the sample under consideration, breast masses were more occurring at the third and fourth decades of life, the number of children may affect the development of breast mass and combined oral contraceptive has small increased risk of breast mass.

  2. Early detection of breast cancer.

    Science.gov (United States)

    Nettles-Carlson, B

    1989-01-01

    Timely, comprehensive screening for breast cancer is a major, though often overlooked, component of primary health care for women. This article reviews the scientific rationale for screening and outlines the current recommendations of the American Cancer Society and the U.S. Preventive Services Task Force regarding the use of mammography, clinical breast examination (CBE), and breast self-examination (BSE). Nursing interventions to decrease barriers to effective screening are discussed, and an expanded role of nurses in breast cancer screening is proposed.

  3. A Malignant Mass in the Breast Is Not Always Breast Cancer

    Directory of Open Access Journals (Sweden)

    Fatih Selcukbiricik

    2011-10-01

    Full Text Available A 37-year-old woman presented to the Internal Medicine Clinic with complaints of abdominal pain and constipation which had begun 3 months earlier. A colonoscopy was performed, and wall thickening of the sigmoid colon was detected. A biopsy of the sigmoid colon revealed a poorly differentiated, mucin-producing adenocarcinoma with a signet-ring pattern. No distant metastasis was detected. The patient was treated with chemotherapy consisting of 5-fluorouracil, leucovorin, and oxaliplatin. One and a half years later, a painless mass, which was not fixed to the skin, measuring 1 cm in diameter, was found in the lower outer quadrant of the left breast. A core biopsy of the mass was performed, and a histopathological report confirmed metastasis to the breast from mucinous adenocarcinoma of an intestinal primary.

  4. Diabetic mastopathy as a radiographically occult palpable breast mass.

    Science.gov (United States)

    Thanarajasingam, Uma; Chen, Beiyun; Tortorelli, Cindy L; Jakub, James W; Ghosh, Karthik

    2011-01-01

    Diabetic mastopathy is an uncommon, benign disease of the breast that can occur in women with diabetes and clinically mimic breast cancer. We describe a patient with long-standing type 1 diabetes who presented with a palpable breast mass with negative imaging findings on mammography, ultrasonography, and breast MRI. Surgical biopsy and histopathology confirmed diabetic mastopathy. We use this case to highlight the recognition, radiographic features, pathology, and management of this benign breast condition and emphasize that, in diabetic patients, the differential diagnosis of a new breast mass should include diabetic mastopathy.

  5. Diabetic Mastopathy as a Radiographically Occult Palpable Breast Mass

    Directory of Open Access Journals (Sweden)

    Uma Thanarajasingam

    2011-01-01

    Full Text Available Diabetic mastopathy is an uncommon, benign disease of the breast that can occur in women with diabetes and clinically mimic breast cancer. We describe a patient with long-standing type 1 diabetes who presented with a palpable breast mass with negative imaging findings on mammography, ultrasonography, and breast MRI. Surgical biopsy and histopathology confirmed diabetic mastopathy. We use this case to highlight the recognition, radiographic features, pathology, and management of this benign breast condition and emphasize that, in diabetic patients, the differential diagnosis of a new breast mass should include diabetic mastopathy.

  6. Early breast cancer detection using techniques other than mammography

    Energy Technology Data Exchange (ETDEWEB)

    Kopans, D.B.

    1984-09-01

    X-ray mammography is the only imaging method currently available with any proven efficacy for screening to detect early-stage, clinically occult breast cancer. Sonography has a limited role in the differentiation of cystic from solid masses and as a guide for aspiration and preoperative localization of selected breast lesions. Computed tomography has a more limited role to determine the spatial orientation of a lesion detected only in the lateral mammographic position. All other imaging methods should be considered experimental at this time.

  7. Diabetic Mastopathy as a Radiographically Occult Palpable Breast Mass

    OpenAIRE

    Uma Thanarajasingam; Beiyun Chen; Tortorelli, Cindy L.; Jakub, James W.; Karthik Ghosh

    2011-01-01

    Diabetic mastopathy is an uncommon, benign disease of the breast that can occur in women with diabetes and clinically mimic breast cancer. We describe a patient with long-standing type 1 diabetes who presented with a palpable breast mass with negative imaging findings on mammography, ultrasonography, and breast MRI. Surgical biopsy and histopathology confirmed diabetic mastopathy. We use this case to highlight the recognition, radiographic features, pathology, and management of this benign br...

  8. Juvenile myelomonocytic leukemia presenting as bilateral breast masses

    Energy Technology Data Exchange (ETDEWEB)

    Edison, Michele N.; Letter, Haley P. [Florida Hospital, Department of Radiology, Orlando, FL (United States); University of Central Florida, College of Medicine, Orlando, FL (United States); O' Dell, M.C. [University of Central Florida, College of Medicine, Orlando, FL (United States); Children' s Hospital of Philadelphia, Pediatric Radiology, Philadelphia, PA (United States); Scherer, Kurt; Williams, Jennifer L. [Florida Hospital, Department of Radiology, Orlando, FL (United States); University of Central Florida, College of Medicine, Orlando, FL (United States); Florida State University, College of Medicine, Tallahassee, FL (United States)

    2017-01-15

    An 8-year-old girl presented with bilateral breast masses and was subsequently diagnosed with juvenile myelomonocytic leukemia. Juvenile myelomonocytic leukemia is a rare myelodysplastic syndrome that typically presents in boys younger than 3 years of age with splenomegaly, lymphadenopathy and skin findings. Bilateral breast masses in a child are rare and, as such, present a diagnostic dilemma due to the relative paucity of cases in the literature. We present a case of granulocytic sarcoma of the breasts in a patient with juvenile myelomonocytic leukemia. The authors hope that increased reporting and research regarding pediatric breast masses will help create awareness for such cases. (orig.)

  9. Cavernous Hemangioma as A Palpable Breast Mass: A Case Report

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Tae Seok; Kim, Eun Kyung; Kwak, Jin Young; Moon, Hee Jung; Cha, Yoon Jin [Yonsei University College of Medicine, Seoul (Korea, Republic of)

    2011-12-15

    Cavernous hemangioma of the breast is rare, and if manifested as a focal palpable mass of the breast, it should be differentiated from angiosarcoma and other breast malignancies. We described a case of a 54-year-old woman with apalpable breast mass confirmed as a cavernous hemangioma. This lesion presented as a hyperdense mass on mammography and a hypoechoicmass with internal calcifications on ultrasonography. The calcifications exhibited a round shape and central lucency, making themphleboliths. Phlebolithsisare characteristic findings in soft tissue hemangiomas, and finding them during a mammography helps to identify hemangiomas

  10. Acute Lymphoblastic Leukemia Presented as Multiple Breast Masses

    Energy Technology Data Exchange (ETDEWEB)

    Bayrak, Ilkay Koray; Yalin, Turkay; Ozmen, Zafer; Aksoz, Tolga; Doughanji, Roula [Ondokuz Mayis University, Samsun (Turkmenistan)

    2009-10-15

    Breast metastases in cases leukemia are very rare and occur primarily in patients with acute myeloid leukemia. We report the involvement of breast metastases in a 30-year-old woman with acute T cell lymphoblastic leukemia. The patient's mammograms revealed an extremely dense pattern with ill-defined, denser mass-like lesions in both breasts. A bilateral breast ultrasonographic evaluation revealed lobular-shaped and partly ill-defined hypoechoic masses with a multi-septated nodular (mottled) appearance.

  11. Recurrent and second breast cancer detected on follow-up mammography and breast ultrasound after breast-conserving surgery: Findings and clinicopathologic factors

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Ga Young; Cha, Joo Hee; Kim, Hak Hee; Shin, Hee Jung; Chae, Eun Young; Choi, Woo Jung [Dept. of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul (Korea, Republic of)

    2016-01-15

    To assess the imaging and clinicopathologic outcomes of recurrent and second breast cancer after breast-conserving surgery for invasive ductal carcinomas detected on follow-up mammography and breast ultrasound (US). Seventy-six women with an ipsilateral breast tumor recurrence (IBTR) or regional lymph node recurrence and/or contralateral breast cancer (RLNR and CBC) after breast-conserving surgery were included in this study. The mammography and US images were analyzed and the clinicopathologic parameters were compared between the groups. Thirty had an IBTR, and 46 had a RLNR and CBC. The IBTR group's mammography and US images frequently revealed calcification and masses on the breast, respectively. The most frequent site of RLNR detected during follow-up mammography and breast US was the axilla. In univariate analysis, the tumors in the IBTR group were predominantly estrogen receptor (ER)-negative, HER-2 overexpression, and p53-positive. ER and HER-2 were shown by the multivariate analysis to be independent parameters associated for both types of recurrences. A mass or calcification is frequently present in IBTR and the axillary lymph node is the most frequent site of RLNR. ER and HER-2 status are major independent factors associated with recurrent and second breast cancer.

  12. Breast cancer detection using mammary ductoscopy.

    Science.gov (United States)

    Sauter, Edward

    2005-06-01

    Mammary ductoscopy (MD) has been used as a tool to evaluate the breast for cancer for over 10 years. MD allows the direct visualization of the duct lumen, providing a more targeted approach to the diagnosis of disease arising in the ductal system, since the lesion can be visualized and samples collected in the area of interest. Initial studies of MD evaluated women with pathologic spontaneous nipple discharge (PND), while more recent reports are also using MD to assess women without PND for the presence of breast cancer. Cytologic assessment of MD is highly specific but less sensitive in the detection of breast cancer. Nonetheless, a MD sample from a breast with PND may rarely undergo cytologic review and be interpreted as consistent with malignancy, only later to undergo surgical resection demonstrating benign pathology. For this reason, PND specimens interpreted as malignant on cytologic review require histopathologic confirmation prior to instituting therapy. Additional sample evaluation using image or molecular analysis may improve the sensitivity and specificity of MD in breast cancer detection.

  13. Using breast milk to assess breast cancer risk: the role of mass spectrometry-based proteomics.

    Science.gov (United States)

    Schneider, Sallie S; Aslebagh, Roshanak; Ngounou Wetie, Armand G; Sturgeon, Susan R; Darie, Costel C; Arcaro, Kathleen F

    2014-01-01

    Although mammography and treatment advances have led to declines in breast cancer mortality in the United States, breast cancer remains a major cause of morbidity and mortality. Breast cancer in young women is associated with increased mortality and current methods of detecting breast cancers in this group of women have known limitations. Tools for accurately assessing personal breast cancer risk in young women are needed to identify those women who would benefit the most from earlier intervention. Proteomic analysis of breast milk could identify biomarkers of breast cancer risk and provide a tool for identifying women at increased risk. A preliminary analysis of milk from four women provides a proof of concept for using breast milk to assess breast cancer risk.

  14. Ultrasound Imaging Methods for Breast Cancer Detection

    NARCIS (Netherlands)

    Ozmen, N.

    2014-01-01

    The main focus of this thesis is on modeling acoustic wavefield propagation and implementing imaging algorithms for breast cancer detection using ultrasound. As a starting point, we use an integral equation formulation, which can be used to solve both the forward and inverse problems. This thesis c

  15. Breast Cancer Detection Using Multilevel Thresholding

    CERN Document Server

    Rejani, Y Ireaneus Anna

    2009-01-01

    This paper presents an algorithm which aims to assist the radiologist in identifying breast cancer at its earlier stages. It combines several image processing techniques like image negative, thresholding and segmentation techniques for detection of tumor in mammograms. The algorithm is verified by using mammograms from Mammographic Image Analysis Society. The results obtained by applying these techniques are described.

  16. Breast MRI, digital mammography and breast tomosynthesis: comparison of three methods for early detection of breast cancer

    Directory of Open Access Journals (Sweden)

    Dragana Roganovic

    2015-11-01

    Full Text Available Breast cancer is the most common malignancy in women and early detection is important for its successful treatment. The aim of this study was to investigate the sensitivity and specificity of three methods for early detection of breast cancer: breast magnetic resonance imaging (MRI, digital mammography, and breast tomosynthesis in comparison to histopathology, as well as to investigate the intraindividual variability between these modalities.  We included 57 breast lesions, each detected by three diagnostic modalities: digital mammography, breast MRI, and breast tomosynthesis, and subsequently confirmed by histopathology. Breast Imaging-Reporting and Data System (BI-RADS was used for characterizing the lesions. One experienced radiologist interpreted all three diagnostic modalities. Twenty-nine of the breast lesions were malignant while 28 were benign. The sensitivity for digital mammography, breast MRI, and breast tomosynthesis, was 72.4%, 93.1%, and 100%, respectively; while the specificity was 46.4%, 60.7%, and 75%, respectively. Receiver operating characteristics (ROC curve analysis showed an overall diagnostic advantage of breast tomosynthesis over both breast MRI and digital mammography. The difference in performance between breast tomosynthesis and digital mammography was significant (p < 0.001, while the difference between breast tomosynthesis and breast MRI was not significant (p = 0.20. 

  17. The management of screen-detected breast cancer.

    Science.gov (United States)

    Ahmed, Muneer; Douek, Michael

    2014-03-01

    The increased use of mammography and introduction of breast screening programmes have resulted in a rise in clinically-occult breast cancer, with one-third of all breast carcinomata diagnosed being non-palpable. These types of cancer have a unique natural history and biology compared to symptomatic breast cancer and this needs to be taken into account when considering surgery and adjuvant treatment. The majority of studies demonstrating efficacy of adjuvant treatments are largely based on patients with symptomatic breast cancer. The current evidence for the role of surgery and adjuvant therapy for screen-detected breast cancer was reviewed in light of their improved prognosis, compared to symptomatic breast cancer.

  18. The relationships between breast volume, breast dense volume and volumetric breast density with body mass index, body fat mass and ethnicity

    Science.gov (United States)

    Zakariyah, N.; Pathy, N. B.; Taib, N. A. M.; Rahmat, K.; Judy, C. W.; Fadzil, F.; Lau, S.; Ng, K. H.

    2016-03-01

    It has been shown that breast density and obesity are related to breast cancer risk. The aim of this study is to investigate the relationships of breast volume, breast dense volume and volumetric breast density (VBD) with body mass index (BMI) and body fat mass (BFM) for the three ethnic groups (Chinese, Malay and Indian) in Malaysia. We collected raw digital mammograms from 2450 women acquired on three digital mammography systems. The mammograms were analysed using Volpara software to obtain breast volume, breast dense volume and VBD. Body weight, BMI and BFM of the women were measured using a body composition analyser. Multivariable logistic regression was used to determine the independent predictors of increased overall breast volume, breast dense volume and VBD. Indians have highest breast volume and breast dense volume followed by Malays and Chinese. While Chinese are highest in VBD, followed by Malay and Indian. Multivariable analysis showed that increasing BMI and BFM were independent predictors of increased overall breast volume and dense volume. Moreover, BMI and BFM were independently and inversely related to VBD.

  19. Genetically Predicted Body Mass Index and Breast Cancer Risk

    DEFF Research Database (Denmark)

    Guo, Yan; Warren Andersen, Shaneda; Shu, Xiao-Ou

    2016-01-01

    BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or enviro......BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic...... or environmental factors. METHODS: We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated...... genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases  =  46,325, controls  =  42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from...

  20. Predicting the Severity of Breast Masses with Ensemble of Bayesian Classifiers

    Directory of Open Access Journals (Sweden)

    Alaa M. Elsayad

    2010-01-01

    Full Text Available Problem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the severity of breast masses. The objective of the proposed algorithm was to help physicians in their decisions to perform a breast biopsy on a suspicious lesion seen in a mammogram image or to perform a short term follow-up examination instead. While, mammography is the most effective and available tool for breast cancer screening, mammograms do not detect all breast cancers. Also, a small portion of mammograms show that a cancer could probably be present when it is not (called a false-positive result. Approach: Apply ensemble of Bayesian classifiers to predict the severity of breast masses. Bayesian classifiers had been selected as they were able to produce probability estimates rather than predictions. These estimated allow predictions to be ranked and their expected costs to be minimized. The proposed ensemble used the confidence scores where the highest confidence wins to combine the predictions of individual classifiers. Results: The prediction accuracies of Bayesian ensemble was benchmarked against the well-known multilayer perceptron neural network and the ensemble had achieved a remarkable performance with 91.83% accuracy on training subset and 90.63% of test one and outperformed the neural network model. Conclusion: Experimental results showed that the Bayesian classifiers are competitive techniques in the problem of prediction the severity of breast masses.

  1. US correlation for MRI-detected breast lesions in women with familial risk of breast cancer.

    NARCIS (Netherlands)

    Sim, L.S.; Hendriks, J.H.C.L.; Bult, P.; Fook-Chong, S.M.

    2005-01-01

    AIM: To examine the value of US correlation for MRI-detected breast lesions in women with familial risk of breast cancer. METHODS: From an initial dataset of 245 women with positive family history who had breast cancer surveillance involving mammography or MRI between November 1994 and February 2001

  2. Novelty detection for breast cancer image classification

    Science.gov (United States)

    Cichosz, Pawel; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold

    2016-09-01

    Using classification learning algorithms for medical applications may require not only refined model creation techniques and careful unbiased model evaluation, but also detecting the risk of misclassification at the time of model application. This is addressed by novelty detection, which identifies instances for which the training set is not sufficiently representative and for which it may be safer to restrain from classification and request a human expert diagnosis. The paper investigates two techniques for isolated instance identification, based on clustering and one-class support vector machines, which represent two different approaches to multidimensional outlier detection. The prediction quality for isolated instances in breast cancer image data is evaluated using the random forest algorithm and found to be substantially inferior to the prediction quality for non-isolated instances. Each of the two techniques is then used to create a novelty detection model which can be combined with a classification model and used at the time of prediction to detect instances for which the latter cannot be reliably applied. Novelty detection is demonstrated to improve random forest prediction quality and argued to deserve further investigation in medical applications.

  3. [Public policies for the detection of breast cancer in Mexico].

    Science.gov (United States)

    Martínez-Montañez, Olga Georgina; Uribe-Zúñiga, Patricia; Hernández-Avila, Mauricio

    2009-01-01

    Breast Cancer is a significant public health problem associated with epidemiological and demographic transitions that are currently taking place in Mexico. Aging and increased exposure to risk factors are thought to increase breast cancer incidence, having great relevance for the society and health services. Under this scenario, the health system must respond to the growing needs for better breast cancer screening services. In this paper we present an update of breast cancer mortality, general international recommendations for breast cancer screening programs and key aspects of the Mexico Action Program for Breast Cancer Screening and Control 2007-2012. Breast cancer policies are aimed at organizing and increasing the infrastructure to develop a National Program for Detection, Diagnosis and Treatment of Breast Cancer with optimal quality, friendliness and respect for patient's rights.

  4. Breast Cancer Detection with Gabor Features from Digital Mammograms

    Directory of Open Access Journals (Sweden)

    Yufeng Zheng

    2010-01-01

    Full Text Available A new breast cancer detection algorithm, named the “Gabor Cancer Detection” (GCD algorithm, utilizing Gabor features is proposed. Three major steps are involved in the GCD algorithm, preprocessing, segmentation (generating alarm segments, and classification (reducing false alarms. In preprocessing, a digital mammogram is down-sampled, quantized, denoised and enhanced. Nonlinear diffusion is used for noise suppression. In segmentation, a band-pass filter is formed by rotating a 1-D Gaussian filter (off center in frequency space, termed as “Circular Gaussian Filter” (CGF. A CGF can be uniquely characterized by specifying a central frequency and a frequency band. A mass or calcification is a space-occupying lesion and usually appears as a bright region on a mammogram. The alarm segments (suspicious to be masses/calcifications can be extracted out using a threshold that is adaptively decided upon the histogram analysis of the CGF-filtered mammogram. In classification, a Gabor filter bank is formed with five bands by four orientations (horizontal, vertical, 45 and 135 degree in Fourier frequency domain. For each mammographic image, twenty Gabor-filtered images are produced. A set of edge histogram descriptors (EHD are then extracted from 20 Gabor images for classification. An EHD signature is computed with four orientations of Gabor images along each band and five EHD signatures are then joined together to form an EHD feature vector of 20 dimensions. With the EHD features, the fuzzy C-means clustering technique and k-nearest neighbor (KNN classifier are used to reduce the number of false alarms. The experimental results tested on the DDSM database (University of South Florida show the promises of GCD algorithm in breast cancer detection, which achieved TP (true positive rate = 90% at FPI (false positives per image = 1.21 in mass detection; and TP = 93% at FPI = 1.19 in calcification detection.

  5. Digital Image Processing Technique for Breast Cancer Detection

    Science.gov (United States)

    Guzmán-Cabrera, R.; Guzmán-Sepúlveda, J. R.; Torres-Cisneros, M.; May-Arrioja, D. A.; Ruiz-Pinales, J.; Ibarra-Manzano, O. G.; Aviña-Cervantes, G.; Parada, A. González

    2013-09-01

    Breast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in the early stages of the disease becomes complex as the causes remain almost unknown. However, some typical signatures of this disease, such as masses and microcalcifications appearing on mammograms, can be used to improve early diagnostic techniques, which is critical for women’s quality of life. X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. As masses and benign glandular tissue typically appear with low contrast and often very blurred, several computer-aided diagnosis schemes have been developed to support radiologists and internists in their diagnosis. In this article, an approach is proposed to effectively analyze digital mammograms based on texture segmentation for the detection of early stage tumors. The proposed algorithm was tested over several images taken from the digital database for screening mammography for cancer research and diagnosis, and it was found to be absolutely suitable to distinguish masses and microcalcifications from the background tissue using morphological operators and then extract them through machine learning techniques and a clustering algorithm for intensity-based segmentation.

  6. Promoting early detection of breast cancer and care strategies for ...

    African Journals Online (AJOL)

    Promoting early detection of breast cancer and care strategies for Nigeria. ... Journal Home > Vol 21, No 2 (2017) > ... Worldwide, it is predicted that more than one million women are diagnosed with breast cancer, and ... between wide spread education, early detection, the disease stage at diagnosis, and survival rates.

  7. Breast Cancer Basics and You: Detection and Diagnosis | NIH MedlinePlus the Magazine

    Science.gov (United States)

    ... of this page please turn Javascript on. Feature: Breast Cancer Breast Cancer Basics and You: Detection and Diagnosis Past Issues / ... regular clinical breast exams and mammograms to find breast cancer early, when treatment is more likely to work ...

  8. Protein Biomarkers for the Early Detection of Breast Cancer

    Directory of Open Access Journals (Sweden)

    David E. Misek

    2011-01-01

    Full Text Available Advances in breast cancer control will be greatly aided by early detection so as to diagnose and treat breast cancer in its preinvasive state prior to metastasis. For breast cancer, the second leading cause of cancer-related death among women in the United States, early detection does allow for increased treatment options, including surgical resection, with a corresponding better patient response. Unfortunately, however, many patients' tumors are diagnosed following metastasis, thus making it more difficult to successfully treat the malignancy. There are, at present, no existing validated plasma/serum biomarkers for breast cancer. Only a few biomarkers (such as HER-2/neu, estrogen receptor, and progesterone receptor have utility for diagnosis and prognosis. Thus, there is a great need for new biomarkers for breast cancer. This paper will focus on the identification of new serum protein biomarkers with utility for the early detection of breast cancer.

  9. Automated multimodal segmentation of an abnormal breast mass in mammogram.

    Science.gov (United States)

    Kirubha, Angeline Sp; Rachel, Minnita; Anburajan, Micheal

    2016-06-01

    A lot of computer-aided diagnosis systems have been attempted to segment automatically breast mass from a mammogram and to classify the mass as benign and malignant quantitatively. This study aimed to develop an automated computer-aided diagnosis system to evaluate the disease with high accuracy using the proposed multimodal segmentation algorithm when compared to an abnormal breast mass region outlined in mammogram by radiologists of American College of Radiology as "standard." In this study, a total number of 150 mammograms were downloaded from the DDSM database for screening mammography. Based on the available diagnostic report, the studied data were classified as follows: (1) Group I: normal (n = 50, mean ± SD age = 55 ± 8 years), (2) Group II: benign breast cancer (n = 50, mean ± SD age = 58 ± 11 years), and (3) Group III: malignant breast cancer (n = 50, mean ± SD age = 58±9 years). It was found that the proposed multimodal segmentation algorithm processed all the mammograms of different mass types, density, shapes, size, margin, calcification type, and distortion successfully, and it segmented the mass automatically with high accuracy. In this study, a computer-aided diagnosis system was developed to segment the breast mass automatically in a mammogram with high accuracy of 96%. The sensitivity and specificity of the system were found to be 94% and 97%, respectively, when compared to abnormal region outlined in mammogram by radiologists of American College of Radiology as standard.

  10. Multimodal optical imaging for detecting breast cancer

    Science.gov (United States)

    Patel, Rakesh; Khan, Ashraf; Wirth, Dennis; Kamionek, Michal; Kandil, Dina; Quinlan, Robert; Yaroslavsky, Anna N.

    2012-06-01

    The goal of the study was to evaluate wide-field and high-resolution multimodal optical imaging, including polarization, reflectance, and fluorescence for the intraoperative detection of breast cancer. Lumpectomy specimens were stained with 0.05 mg/ml aqueous solution of methylene blue (MB) and imaged. Wide-field reflectance images were acquired between 390 and 750 nm. Wide-field fluorescence images were excited at 640 nm and registered between 660 and 750 nm. High resolution confocal reflectance and fluorescence images were excited at 642 nm. Confocal fluorescence images were acquired between 670 nm and 710 nm. After imaging, the specimens were processed for hematoxylin and eosin (H&E) histopathology. Histological slides were compared with wide-field and high-resolution optical images to evaluate correlation of tumor boundaries and cellular morphology, respectively. Fluorescence polarization imaging identified the location, size, and shape of the tumor in all the cases investigated. Averaged fluorescence polarization values of tumor were higher as compared to normal tissue. Statistical analysis confirmed the significance of these differences. Fluorescence confocal imaging enabled cellular-level resolution. Evaluation and statistical analysis of MB fluorescence polarization values registered from single tumor and normal cells demonstrated higher fluorescence polarization from cancer. Wide-field high-resolution fluorescence and fluorescence polarization imaging shows promise for intraoperative delineation of breast cancers.

  11. THE VALUE OF ULTRASOUND MAMMOGRAPHY IN PALPABLE BREAST MASSES

    NARCIS (Netherlands)

    VANOORD, JC; VANDERVLIET, AM; THYN, CJP; MAK, B; HOOGEBOOM, GJ

    1991-01-01

    Between January 1987 and May 1988 a prospective study was carried out on 232 women with a palpable breast mass. They underwent physical examination, x-ray mammography and ultrasound mammography. The results of each study were interpreted independently by separate observers, and consensus was achieve

  12. An introduction to microwave imaging for breast cancer detection

    CERN Document Server

    Conceição, Raquel Cruz; O'Halloran, Martin

    2016-01-01

    This book collates past and current research on one of the most promising emerging modalities for breast cancer detection. Readers will discover how, as a standalone technology or in conjunction with another modality, microwave imaging has the potential to provide reliable, safe and comfortable breast exams at low cost. Current breast imaging modalities include X- ray, Ultrasound, Magnetic Resonance Imaging, and Positron Emission Tomography. Each of these methods suffers from limitations, including poor sensitivity or specificity, high cost, patient discomfort, and exposure to potentially harmful ionising radiation. Microwave breast imaging is based on a contrast in the dielectric properties of breast tissue that exists at microwave frequencies. The book begins by considering the anatomy and dielectric properties of the breast, contrasting historical and recent studies. Next, radar-based breast imaging algorithms are discussed, encompassing both early-stage artefact removal, and data independent and adaptive ...

  13. Ability of subtraction and dynamic MR imaging to detect breast tumors. Comparison with ultrasonography and mammography

    Energy Technology Data Exchange (ETDEWEB)

    Terao, Eri; Takeuchi, Hiroaki; Iwamura, Akira; Murakami, Yoshitaka; Harada, Junta; Tada, Shinpei (Jikei Univ., Tokyo (Japan). School of Medicine)

    1994-09-01

    We evaluated the ability of subtraction and dynamic MR imaging to accurately detect breast tumors. Sixty-five breast carcinomas and 24 fibroadenomas were examined by an SE pulse sequence using a 0.2 Tesla unit. Subtraction MR images were obtained every minute during dynamic study with Gd-DTPA. Almost all breast tumors were seen as very bright masses, and the margin of the mass was clearly demonstrated on subtraction MR images. Breast carcinomas and fibroadenomas showed characteristic time-intensity curves on dynamic study. Time-intensity curves of the early peak type and plateau type were seen in 97% of breast carcinomas, while the gradually increasing type was seen in 92% of fibroadenomas. The detectability of breast carcinoma was 98% by MRI, 98% by ultrasonography, and 87% by mammography. That of fibroadenoma was 95% by MRI, 91% by ultrasonography and 60% by mammography. Sensitivity and specificity for breast carcinoma were 98% and 92% for MRI and 97% and 71% for ultrasonography. For fibroadenoma, they were 96% and 98% for MRI and 89% and 92% for ultrasonography. (author).

  14. Mass detection with digitized screening mammograms by using Gabor features

    Science.gov (United States)

    Zheng, Yufeng; Agyepong, Kwabena

    2007-03-01

    Breast cancer is the leading cancer among American women. The current lifetime risk of developing breast cancer is 13.4% (one in seven). Mammography is the most effective technology presently available for breast cancer screening. With digital mammograms computer-aided detection (CAD) has proven to be a useful tool for radiologists. In this paper, we focus on mass detection that is a common category of breast cancers relative to calcification and architecture distortion. We propose a new mass detection algorithm utilizing Gabor filters, termed as "Gabor Mass Detection" (GMD). There are three steps in the GMD algorithm, (1) preprocessing, (2) generating alarms and (3) classification (reducing false alarms). Down-sampling, quantization, denoising and enhancement are done in the preprocessing step. Then a total of 30 Gabor filtered images (along 6 bands by 5 orientations) are produced. Alarm segments are generated by thresholding four Gabor images of full orientations (Stage-I classification) with image-dependent thresholds computed via histogram analysis. Next a set of edge histogram descriptors (EHD) are extracted from 24 Gabor images (6 by 4) that will be used for Stage-II classification. After clustering EHD features with fuzzy C-means clustering method, a k-nearest neighbor classifier is used to reduce the number of false alarms. We initially analyzed 431 digitized mammograms (159 normal images vs. 272 cancerous images, from the DDSM project, University of South Florida) with the proposed GMD algorithm. And a ten-fold cross validation was used for testing the GMD algorithm upon the available data. The GMD performance is as follows: sensitivity (true positive rate) = 0.88 at false positives per image (FPI) = 1.25, and the area under the ROC curve = 0.83. The overall performance of the GMD algorithm is satisfactory and the accuracy of locating masses (highlighting the boundaries of suspicious areas) is relatively high. Furthermore, the GMD algorithm can

  15. Towards the Early Detection of Breast Cancer in Young Women

    Science.gov (United States)

    2006-10-01

    tissue types. For example, it is difficult to distinguish a ductal carcinoma in-situ from a phyllodes tumor based on E alone (since the ratio is about...cancer, it is less effective in younger women (≤ 40 years), usually because the higher density of their breasts can obscure tumors . While the...to breast cancer detection (see [2] for example) utilizes the fact that breast tumors tend to be significantly stiffer than the surrounding tissue [3

  16. Breast Cancer Mimic: Cutaneous B-Cell Lymphoma Presenting as an Isolated Breast Mass

    Directory of Open Access Journals (Sweden)

    Margaret Taghavi

    2014-10-01

    Full Text Available Background: Primary cutaneous B-cell lymphoma typically localizes to the skin, and dissemination to internal organs is rare. Lymphomatous involvement of the breasts is also rare. We describe the clinical and radiological findings of an unusual case of primary cutaneous B-cell lymphoma presenting as an isolated breast mass without associated skin changes. Case Presentation: The patient was a 55-year-old Caucasian female who initially presented with cutaneous B-cell lymphoma around her eyes and forehead with recurrence involving the skin between her breasts. Three years after terminating treatment due to a lack of symptoms, she presented for an annual screening mammogram that found a new mass in her upper inner right breast without imaging signs of cutaneous extension. On physical examination, there were no corresponding skin findings. Due to the suspicious imaging features of the mass that caused concern for primary breast malignancy, she underwent a core biopsy which revealed cutaneous B-cell lymphoma. Conclusion: When evaluating patients with a systemic disease who present with findings atypical for that process, it is important to still consider the systemic disease as a potential etiology, particularly with lymphoma given its reputation as a great mimicker.

  17. Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Sadaf, Arifa, E-mail: arifa.sadaf@gmail.com [Department of Medical Imaging, Mount Sinai Hospital, Toronto, Ontario, M5G 1X5 (Canada); Crystal, Pavel, E-mail: pavel.crystal@utoronto.ca [Department of Medical Imaging, Mount Sinai Hospital, Toronto, Ontario, M5G 1X5 (Canada); Scaranelo, Anabel, E-mail: anabel.scaranelo@uhn.on.ca [Department of Medical Imaging, Princess Margaret Hospital, 610 University Avenue, Rm 3-922, Toronto, Ontario, M5G 2M9 (Canada); Helbich, Thomas, E-mail: thomas.helbich@meduniwien.ac.at [Medical University Vienna - General Hospital Vienna, Waehringer Guertel 18-20, Floor 7F, 1090 Vienna (Austria)

    2011-03-15

    Objective: The aim of this retrospective study was to evaluate performance of computer-aided detection (CAD) with full-field digital mammography (FFDM) in detection of breast cancers. Materials and Methods: CAD was retrospectively applied to standard mammographic views of 127 cases with biopsy proven breast cancers detected with FFDM (Senographe 2000, GE Medical Systems). CAD sensitivity was assessed in total group of 127 cases and for subgroups based on breast density, mammographic lesion type, mammographic lesion size, histopathology and mode of presentation. Results: Overall CAD sensitivity was 91% (115 of 127 cases). There were no statistical differences (p > 0.1) in CAD detection of cancers in dense breasts 90% (53/59) versus non-dense breasts 91% (62/68). There was statistical difference (p < 0.05) in CAD detection of cancers that appeared mammographically as microcalcifications only versus other mammographic manifestations. CAD detected 100% (44/44) of cancers manifesting as microcalcifications, 89% (47/53) as no-calcified masses or asymmetries, 88% (14/16) as masses with associated calcifications, and 71% (10/14) as architectural distortions. CAD sensitivity for cancers 1-10 mm was 84% (38/45); 11-20 mm 93% (55/59); and >20 mm 97% (22/23). Conclusion: CAD applied to FFDM showed 100% sensitivity in identifying cancers manifesting as microcalcifications only and high sensitivity 86% (71/83) for other mammographic appearances of cancer. Sensitivity is influenced by lesion size. CAD in FFDM is an adjunct helping radiologist in early detection of breast cancers.

  18. Contrast-enhanced dedicated breast CT detection of invasive breast cancer preceding mammographic diagnosis

    Directory of Open Access Journals (Sweden)

    Nicolas D. Prionas, MD, PhD

    2015-01-01

    Full Text Available Dedicated breast computed tomography (bCT generates high-resolution, three-dimensional images of the pendent uncompressed breast. Intravenous iodinated contrast during bCT provides additional physiologic information. In this case, a 10.0-mm invasive ductal carcinoma was visualized using contrast-enhanced breast CT one year before mammographic detection. Mammography four months before bCT was negative. The bCT contrast enhancement pattern closely matched the dynamic contrast-enhanced MRI obtained after diagnosis. Lesion enhancement at contrast-enhanced breast CT matched previously published enhancement values of breast cancer. Contrast-enhanced dedicated bCT provided high-resolution tomographic images and physiologic contrast enhancement data that facilitated the detection of an early breast cancer.

  19. Evaluation of hybrids algorithms for mass detection in digitalized mammograms

    Energy Technology Data Exchange (ETDEWEB)

    Cordero, Jose; Garzon Reyes, Johnson, E-mail: josecorderog@hotmail.com [Grupo de Optica y Espectroscopia GOE, Centro de Ciencia Basica, Universidad Pontifica Bolivariana de Medellin (Colombia)

    2011-01-01

    The breast cancer remains being a significant public health problem, the early detection of the lesions can increase the success possibilities of the medical treatments. The mammography is an image modality effective to early diagnosis of abnormalities, where the medical image is obtained of the mammary gland with X-rays of low radiation, this allows detect a tumor or circumscribed mass between two to three years before that it was clinically palpable, and is the only method that until now achieved reducing the mortality by breast cancer. In this paper three hybrids algorithms for circumscribed mass detection on digitalized mammograms are evaluated. In the first stage correspond to a review of the enhancement and segmentation techniques used in the processing of the mammographic images. After a shape filtering was applied to the resulting regions. By mean of a Bayesian filter the survivors regions were processed, where the characteristics vector for the classifier was constructed with few measurements. Later, the implemented algorithms were evaluated by ROC curves, where 40 images were taken for the test, 20 normal images and 20 images with circumscribed lesions. Finally, the advantages and disadvantages in the correct detection of a lesion of every algorithm are discussed.

  20. An ensemble-based approach for breast mass classification in mammography images

    Science.gov (United States)

    Ribeiro, Patricia B.; Papa, João. P.; Romero, Roseli A. F.

    2017-03-01

    Mammography analysis is an important tool that helps detecting breast cancer at the very early stages of the disease, thus increasing the quality of life of hundreds of thousands of patients worldwide. In Computer-Aided Detection systems, the identification of mammograms with and without masses (without clinical findings) is highly needed to reduce the false positive rates regarding the automatic selection of regions of interest that may contain some suspicious content. In this work, the introduce a variant of the Optimum-Path Forest (OPF) classifier for breast mass identification, as well as we employed an ensemble-based approach that can enhance the effectiveness of individual classifiers aiming at dealing with the aforementioned purpose. The experimental results also comprise the naïve OPF and a traditional neural network, being the most accurate results obtained through the ensemble of classifiers, with an accuracy nearly to 86%.

  1. Mass Spectrometry-Based Quantitative Metabolomics Revealed a Distinct Lipid Profile in Breast Cancer Patients

    Directory of Open Access Journals (Sweden)

    Yun Yen

    2013-04-01

    Full Text Available Breast cancer accounts for the largest number of newly diagnosed cases in female cancer patients. Although mammography is a powerful screening tool, about 20% of breast cancer cases cannot be detected by this method. New diagnostic biomarkers for breast cancer are necessary. Here, we used a mass spectrometry-based quantitative metabolomics method to analyze plasma samples from 55 breast cancer patients and 25 healthy controls. A number of 30 patients and 20 age-matched healthy controls were used as a training dataset to establish a diagnostic model and to identify potential biomarkers. The remaining samples were used as a validation dataset to evaluate the predictive accuracy for the established model. Distinct separation was obtained from an orthogonal partial least squares-discriminant analysis (OPLS-DA model with good prediction accuracy. Based on this analysis, 39 differentiating metabolites were identified, including significantly lower levels of lysophosphatidylcholines and higher levels of sphingomyelins in the plasma samples obtained from breast cancer patients compared with healthy controls. Using logical regression, a diagnostic equation based on three metabolites (lysoPC a C16:0, PC ae C42:5 and PC aa C34:2 successfully differentiated breast cancer patients from healthy controls, with a sensitivity of 98.1% and a specificity of 96.0%.

  2. Microwave detection of breast tumors: comparison of skin subtraction algorithms

    Science.gov (United States)

    Fear, Elise C.; Stuchly, Maria A.

    2000-07-01

    Early detection of breast cancer is an important part of effective treatment. Microwave detection of breast cancer is of interest due to the contrast in dielectric properties of normal and malignant breast tissues. We are investigating a confocal microwave imaging system that adapts ideas from ground penetrating radar to breast cancer detection. In the proposed system, the patient lies prone with the breast extending through a hole in the examining table and encircled by an array of antennas. The breast is illuminated sequentially by each antenna with an ultrawideband signal, and the returns are recorded at the same antenna. Because the antennas are offset from the breast, the dominant component of the recorded returns is the reflection from the thin layer of breast skin. Two methods of reducing this reflection are compared, namely approximation of the signal with two time shifted, scaled and summed returns from a cylinder of skin, and subtraction of the mean of the set of aligned returns. Both approaches provide effective decrease of the skin signal, allowing for tumor detection.

  3. Breast cancer in male-to-female transsexuals: use of breast imaging for detection.

    Science.gov (United States)

    Maglione, Katharine D; Margolies, Laurie; Jaffer, Shabnam; Szabo, Janet; Schmidt, Hank; Weltz, Christina; Sonnenblick, Emily B

    2014-12-01

    The purposes of this article are to describe two cases of breast cancer in male-to-female transsexuals and to review eight cases previously reported in the literature. Breast cancer occurs in male-to-female transsexuals who receive high doses of exogenous estrogen and develop breast tissue histologically identical to that of a biologically female breast. This exposure to estrogen results in increased risk of breast cancer. The first patient described is a male-to-female transsexual with screening-detected ductal carcinoma in situ and a family history of breast cancer. The other patient is a male-to-female transsexual with invasive ductal carcinoma that was occult on diagnostic digital mammographic and ultrasound findings but visualized on digital breast tomosynthesis and breast MR images. The analysis of the eight previously reported cases showed that breast cancer in male-to-female transsexuals occurs at a younger age and is more frequently estrogen receptor negative than breast cancer in others born biologically male. Screening for breast cancer in male-to-female transsexuals should be undertaken for those with additional risk factors (e.g., family history, BRCA2 mutation, Klinefelter syndrome) and should be available to those who desire screening, preferably in a clinical trial.

  4. SCREENING FOR EARLY DETECTION OF BREAST CANCER

    Directory of Open Access Journals (Sweden)

    E. A. Rasskazova

    2014-01-01

    Full Text Available The article presents a brief overview of the main methods of breast cancer screening. Proven effectiveness of mammography as a screening method in reducing mortality from breast cancer, specified limits of the method. The main trend of increasing the effectiveness of screening is the transition to digital technologies. Properly organized screening with the active participation of the population reduces mortality from breast cancer by 30%.

  5. Mass spectrometry (LC-MS/MS) identified proteomic biosignatures of breast cancer in proximal fluid

    Science.gov (United States)

    Whelan, Stephen A.; He, Jianbo; Lu, Ming; Souda, Puneet; Saxton, Romaine E.; Faull, Kym F.; Whitelegge, Julian P.; Chang, Helena R.

    2012-01-01

    Summary We have begun an early phase of biomarker discovery in three clinically important types of breast cancer using a panel of human cell lines: HER2 positive, HER2 negative and hormone receptor positive and triple negative (HER2−, ER−, PR−). We identified and characterized the most abundant secreted, sloughed, or leaked proteins released into serum free media from these breast cancer cell lines using a combination of protein fractionation methods before LC-MS/MS mass spectrometry analysis. A total of 249 proteins were detected in the proximal fluid of 7 breast cancer cell lines. The expression of a selected group of high abundance and/or breast cancer specific potential biomarkers including thromobospondin 1, galectin-3 binding protein, cathepsin D, vimentin, zinc-α2-glycoprotein, CD44, and EGFR from the breast cancer cell lines and in their culture media were further validated by Western blot analysis. Interestingly, mass spectrometry identified a cathepsin D protein single-nucleotide polymorphism (SNP) by alanine to valine replacement from the MCF-7 breast cancer cell line. Comparison of each cell line media proteome displayed unique and consistent biosignatures regardless of the individual group classifications demonstrating the potential for stratification of breast cancer. Based on the cell line media proteome, predictive Tree software was able to categorize each cell line as HER2 positive, HER2 negative and hormone receptor positive and triple negative based on only two proteins, muscle fructose 1,6-bisphosphate aldolase and keratin 19. In addition, the predictive Tree software clearly identified MCF-7 cell line overexpresing the HER2 receptor with the SNP cathepsin D biomarker. PMID:22934887

  6. Mass spectrometry (LC-MS/MS) identified proteomic biosignatures of breast cancer in proximal fluid.

    Science.gov (United States)

    Whelan, Stephen A; He, Jianbo; Lu, Ming; Souda, Puneet; Saxton, Romaine E; Faull, Kym F; Whitelegge, Julian P; Chang, Helena R

    2012-10-05

    We have begun an early phase of biomarker discovery in three clinically important types of breast cancer using a panel of human cell lines: HER2 positive, hormone receptor positive and HER2 negative, and triple negative (HER2-, ER-, PR-). We identified and characterized the most abundant secreted, sloughed, or leaked proteins released into serum free media from these breast cancer cell lines using a combination of protein fractionation methods before LC-MS/MS mass spectrometry analysis. A total of 249 proteins were detected in the proximal fluid of 7 breast cancer cell lines. The expression of a selected group of high abundance and/or breast cancer-specific potential biomarkers including thromobospondin 1, galectin-3 binding protein, cathepsin D, vimentin, zinc-α2-glycoprotein, CD44, and EGFR from the breast cancer cell lines and in their culture media were further validated by Western blot analysis. Interestingly, mass spectrometry identified a cathepsin D protein single-nucleotide polymorphism (SNP) by alanine to valine replacement from the MCF-7 breast cancer cell line. Comparison of each cell line media proteome displayed unique and consistent biosignatures regardless of the individual group classifications, demonstrating the potential for stratification of breast cancer. On the basis of the cell line media proteome, predictive Tree software was able to categorize each cell line as HER2 positive, HER2 negative, and hormone receptor positive and triple negative based on only two proteins, muscle fructose 1,6-bisphosphate aldolase and keratin 19. In addition, the predictive Tree software clearly identified MCF-7 cell line overexpresing the HER2 receptor with the SNP cathepsin D biomarker.

  7. Comparison between mammography and ultrasonography for palpable breast mass: focusing fibroadenoma and breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Do Kyun; Koh, Mi Kyung; Choi, Chul Soon; Chung, Soo Young; Yi, Jeong Geun; Yoon, Dae Young; Kim, Ho Chul; Bae, Sang Hoon [Hallym Univ. College of Medicine, Seoul (Korea, Republic of)

    1997-09-01

    The purpose of our study was to compare the diagnostic accuracy of mammography and breast ultrasonography between fibroadenoma and palpable breast cancer and to evaluate the feasibility of ultrasonography as a primary diagnostic modality to differentiate between these two tumor types. In 36 cases of fibroadenoma and 35 of breast cancer, all palpable and pathologically-proven, the diagnostic accuracy of mammography and ultrasonography was retros-pectively analysed. In fibroadenoma cases, the diagnostic accuracy of mammography and ultrasonography was 53% and 80%, respectively, and the difference was statistically significant(p=3D0.0162). In cases of breast cancer, the corresponding figures were 74% and 82%, respectively;the difference was not statistically signigicant(p-0.55). Overall, the diagnostic accuracy of mammography and ultrasonog-raphy was 63% and 82%, respectively, and this difference was statistically significant(p=3D0.0164). The total diagnostic accuracy of both studies was 90%, and this was signigicantly different(p=3D0.044) from that of ultrasonography(82%). In patients who have clinically palpable breast masses, ultrasonography can be recommended as the primary diagnostic modality, though for other breast lesions, mammography is the recommended primary modality.=20.

  8. Initiators and promoters for the occurrence of screen-detected breast cancer and the progression to clinically-detected interval breast cancer.

    Science.gov (United States)

    Yen, Amy Ming-Fang; Wu, Wendy Yi-Ying; Tabar, Laszlo; Duffy, Stephen W; Smith, Robert A; Chen, Hsiu-Hsi

    2017-03-01

    The risk factors responsible for breast cancer have been well documented, but the roles of risk factors as initiators, causing the occurrence of screen-detected breast cancer, or promoters, responsible for the progression of the screen-detected to the clinically-detected breast cancer, have been scarcely evaluated. We used data from women in a cohort in Kopparberg (Dalarna), Sweden between 1977 and 2010. Conventional risk factors, breast density, and tumor-specific biomarkers are superimposed to the temporal course of the natural history of the disease. The results show that older age at first full-term pregnancy, dense breast, and a family history of breast cancer increased the risk of entering the preclinical screen-detectable phase of breast cancer by 23%, 41%, and 89%, respectively. Overweight/obesity (body mass index ≥25 kg/m(2)) was a significant initiator (adjusted relative risk [aRR] 1.15; 95% confidence interval [CI], 0.99-1.33), but was inversely associated with the role of promoter (aRR 0.65; 95% CI, 0.51-0.82). Dense breast (aRR 1.46; 95% CI, 1.12-1.91), triple-negative (aRR 2.07; 95% CI, 1.37-3.15), and Ki-67 positivity (aRR 1.66; 95% CI, 1.19-2.30) were statistically significant promoters. When the molecular biomarkers were considered collectively as one classification, the basal-like subtype was the most influential subtype on promoters (aRR 4.24; 95% CI, 2.56-7.02) compared with the Luminal A subtype. We ascertained state-dependent covariates of initiators and promoters to classify the risk of the two-step progression of breast cancer. The results of the current study are useful for individually-tailored screening and personalized clinical surveillance of patients with breast cancer that was detected at an early stage. Copyright © 2016 The Authors. Production and hosting by Elsevier B.V. All rights reserved.

  9. Mammographic mass detection using wavelets as input to neural networks.

    Science.gov (United States)

    Kilic, Niyazi; Gorgel, Pelin; Ucan, Osman N; Sertbas, Ahmet

    2010-12-01

    The objective of this paper is to demonstrate the utility of artificial neural networks, in combination with wavelet transforms for the detection of mammogram masses as malign or benign. A total of 45 patients who had breast masses in their mammography were enrolled in the study. The neural network was trained on the wavelet based feature vectors extracted from the mammogram masses for both benign and malign data. Therefore, in this study, Multilayer ANN was trained with the Backpropagation, Conjugate Gradient and Levenberg-Marquardt algorithms and ten-fold cross validation procedure was used. A satisfying sensitivity percentage of 89.2% was achieved with Levenberg-Marquardt algorithm. Since, this algorithm combines the best features of the Gauss-Newton technique and the other steepest-descent algorithms and thus it reaches desired results very fast.

  10. Are irregular hypoechoic breast masses on ultrasound always malignancies?: A Pictorial essay

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Youe Ree; Kim, Hun Soo; Kim, Hye Won [Wonkwang University Hospital, Iksan (Korea, Republic of)

    2015-12-15

    Irregular hypoechoic masses in the breast do not always indicate malignancies. Many benign breast diseases present with irregular hypoechoic masses that can mimic carcinoma on ultrasonography. Some of these diseases such as inflammation and trauma-related breast lesions could be suspected from a patient's symptoms and personal history. Careful ultrasonographic examination and biopsy could help to differentiate these from malignancies.

  11. Ductal carcinoma in situ diagnosed using an ultrasound-guided 14-gauge core needle biopsy of breast masses: can underestimation be predicted preoperatively?

    Directory of Open Access Journals (Sweden)

    Sung Hee Park

    2014-04-01

    Conclusion: We found a 30.4% rate of DCIS underestimation in breast masses based on a US-14G-CNB. The presence of abnormal lymph nodes as detected on axillary ultrasound may be useful to preoperatively predict underestimation.

  12. Benefits and harms of detecting clinically occult breast cancer.

    Science.gov (United States)

    Amir, Eitan; Bedard, Philippe L; Ocaña, Alberto; Seruga, Bostjan

    2012-10-17

    Over the last few decades there has been an increase in the use of strategies to detect clinically occult breast cancer with the aim of achieving diagnosis at an earlier stage when prognosis may be improved. Such strategies include screening mammography in healthy women, diagnostic imaging and axillary staging in those diagnosed with breast cancer, and the use of follow-up imaging for the early detection of recurrent or metastatic disease. Some of these strategies are established, whereas for others there are inconsistent supportive data. Although the potential benefit of early detection of clinically occult breast cancer seems intuitive, use of such strategies can also be associated with harm. In this commentary, we provide an extended discussion on the potential benefits and harms of the routine and frequent use of screening interventions to detect clinically occult breast cancer and question whether we may be causing more harm than good.

  13. The role of conventional and functional MRI in diagnosis of breast masses

    Directory of Open Access Journals (Sweden)

    Atef Hammad Teama

    2015-12-01

    Conclusion: DCE-MRI of the breast had a higher sensitivity for breast cancer detection and more accurate in delineation of the disease extension. The breast MRI with three parameters (DCE-MRI, DWI, and MRS increased the diagnostic accuracy of the breast cancer.

  14. Detection of circulating breast cancer cells using photoacoustic flow cytometry

    Science.gov (United States)

    Bhattacharyya, Kiran

    According to the American Cancer Society, more than 200,000 new cases of breast cancer are expected to be diagnosed this year. Moreover, about 40,000 women died from breast cancer last year alone. As breast cancer progresses in an individual, it can transform from a localized state to a metastatic one with multiple tumors distributed through the body, not necessarily contained within the breast. Metastasis is the spread of cancer through the body by circulating tumor cells (CTCs) which can be found in the blood and lymph of the diagnosed patient. Diagnosis of a metastatic state by the discovery of a secondary tumor can often come too late and hence, significantly reduce the patient's chance of survival. There is a current need for a CTC detection method which would diagnose metastasis before the secondary tumor occurs or reaches a size resolvable by current imaging systems. Since earlier detection would improve prognosis, this study proposes a method of labeling of breast cancer cells for detection with a photoacoustic flow cytometry system as a model for CTC detection in human blood. Gold nanoparticles and fluorescent polystyrene nanoparticles are proposed as contrast agents for T47D, the breast cancer cell line of choice. The labeling, photoacoustic detection limit, and sensitivity are first characterized and then applied to a study to show detection from human blood.

  15. Association between body mass index and breast density using digital mammography

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Mi Young [Dept. of Diagnostic Radiology, Dankook University Hospital, Cheonan (Korea, Republic of); Kim, Hwa Sun [Dept. of Radiological Technology, Ansan University, Ansan (Korea, Republic of)

    2014-12-15

    It is well known that low body mass index and younger age are associated with high breast density. Mammographic dense breast has been reported both as a cause of false-negative findings on mammography and as an indicator of increased breast cancer risk. The purpose of this study was to evaluate the association between breast density and body mass index. Furthermore, we considered proper screening method of breast cancer in Korean women. The study was performed on 496 women who underwent health checkup in a university hospital. Age and body mass index were negatively associated with breast density respectively. In postmenopausal women, age and body mass index showed statistically significant association with breast density. Therefore, we should consider sensitive additional method for breast cancer screening especially in younger age and underweight women.

  16. Numerical modelling of biopotential field for detection of breast tumour.

    Science.gov (United States)

    Ng, E Y K; Ng, W K; Sim, L S J; Rajendra Acharya, U

    2007-08-01

    Breast cancer is a disease characterised by the uncontrolled growth of abnormal cells. These cancer cells can travel through the body by way of blood or lymph nodes. Previous studies have indicated that, changes in the electrical properties of abnormal breast are more significant compared to the breast normal tissues. In the present study, a simple 2D models of breast (close to realistic), with and without artificially inserted malignant cancer were simulated, based upon electrical activity within the breast. We developed an inhomogeneous female breast model, closer to the actual, by considering a breast as a hemisphere with various layers of unequal thickness in supine condition. In order to determine the potential distribution developed due to a dipole source, isotropic homogeneous conductivity was assigned to each of these compartments and the volume conductor problem was solved using finite element method. Significant changes in the potential distribution were recoded in the malignant and normal breast regions. The surface potential decreases about 0.5%, for the small malignant region of surface area 13 mm(2) (spherical diameter=2mm). And it (surface potential) decreases about 16.4% for large malignant surface area of 615 mm(2) (spherical diameter=14 mm). Hence, the results show that, the sizes of tumours result in the reduction of surface potential and follows a fourth order polynomial equation. Thus, biofield analysis yields promising results in the detection of the breast cancer of various sizes.

  17. AUTOMATED DIGITAL MAMMOGRAM SEGMENTATION FOR DETECTION OF ABNORMAL MASSES USING BINARY HOMOGENEITY ENHANCEMENT ALGORITHM

    Directory of Open Access Journals (Sweden)

    Indra Kanta Maitra

    2011-06-01

    Full Text Available Many image processing techniques have been developed over the past two decades to help radiologists in diagnosing breast cancer. At the same time, many studies proven that an early diagnosis of breastcancer can increase the survival rate, thus making screening programmes a mandatory step for females.Radiologists have to examine a large number of images. Digital Mammogram has emerged as the most popular screening technique for early detection of Breast Cancer and other abnormalities. Raw digital mammograms are medical images that are difficult to interpret so we need to develop Computer Aided Diagnosis (CAD systems that will improve detection of abnormalities in mammogram images. Extraction of the breast region by delineation of the breast contour and pectoral muscle allows the search for abnormalities to be limited to the region of the breast without undue influence from the background of the mammogram. We need to performessential pre-processing steps to suppress artifacts, enhance the breast region and then extract breast region by the process of segmentation. In this paper we present a fully automated scheme for detection of abnormal masses by anatomical segmentation of Breast Region of Interest (ROI. We are using medio-lateral oblique (MLO view of mammograms. We have proposed a new homogeneity enhancement process namely Binary Homogeneity Enhancement Algorithm (BHEA, followed by an innovative approach for edge detection (EDA. Then obtain the breast boundary by using our proposed Breast Boundary Detection Algorithm (BBDA. After we use our proposed Pectoral Muscle Detection Algorithm (PMDA to suppress the pectoral muscle thus obtaining the breast ROI, we use our proposed Anatomical Segmentation of Breast ROI (ASB algorithm to differentiate various regions within the breast. After segregating the different breast regions we use our proposed Seeded Region Growing Algorithm (SRGA to isolate normal and abnormal regions in the breast tissue. If any

  18. Experimental Study of Breast Cancer Detection Using UWB Imaging

    Directory of Open Access Journals (Sweden)

    Saleh A. Alshehri

    2011-01-01

    Full Text Available Breast cancer detection using UWB imaging is presented in this paper. The study is performed experimentally. Homogeneous breast phantom is constructed using pure petroleum jelly. The tumor is modeled using mixture of water and wheat flour. The breast fatty tissue and tumor tissue are put in breast shaped glass which mimics the skin. The dielectric properties values are comparable to previous study. Neural Network (NN was trained and tested using feature vector which is prepared by performing discrete cosine transform (DCT of the received UWB signals. Very encouraging results were obtained. Up to 100 % tumor existence detection was achieved. Tumor size and location detection rate were 91.3% and 95.6% respectively.

  19. Diagnostic Yield of High-Resolution Breast Sonography in Detecting Microcalcifications Compared to Mammography

    Directory of Open Access Journals (Sweden)

    N Ahmadinejad

    2009-08-01

    Full Text Available Background/Objective: Mammography remains the most suitable screening test in detecting microcalcifications as the earliest manifestation of breast malignancy. By means of highfrequency transducers yielding high-resolution breast imaging, some researchers have reported that ultrasonography is capable of depicting microcalcifications in the breast tissue. Therefore, this study has been designed to compare the diagnostic yield of high-resolution"nbreast ultrasonography (HRS versus conventional mammography."nPatients and Methods: Seventy-four consecutive patients who had breast microcalcifications (hyperdense foci < 0.5mm according to standard mammograms, without a prior history of breast disease, surgery, biopsy, chest wall radiation or systemic chemotherapy were enrolled. Considering mammograms as a reference, 46 patients without a mass, voluntarily underwent high-resolution bilateral breast ultrasonography."nResults: The mean age was 50.7±10 years (range, 35-85 years. The upper outer quadrant of the breast was the commonest place where microcalcifications were detected (36.9%. A relative frequency of 45.7% was reported for microcalcifications with breast imaging reporting"nand data system (BIRADS score 3. An overall 82.6% diagnostic yield was discovered for HRS in detecting microcalcifications; it detected all microcalcifications with BIRADS score 4 and 5, but 57.1% and 90.5% of microcalcifications with BIRADS score 2 and 3, respectively. Cluster microcalcification was the most common pattern (43.5%."nConclusion: Considering the 82.6% diagnostic yield of HRS compared to mammography, it can be proposed as the surrogate modality in locating microcalcifications in procedures such as biopsies and hook-wiring, with the advantage of reducing radiation exposure. HRS may be the future screening modality as a result of feasibility, safety, compliance and accuracy.

  20. Flexible 16 Antenna Array for Microwave Breast Cancer Detection.

    Science.gov (United States)

    Bahramiabarghouei, Hadi; Porter, Emily; Santorelli, Adam; Gosselin, Benoit; Popović, Milica; Rusch, Leslie A

    2015-10-01

    Radar-based microwave imaging has been widely studied for breast cancer detection in recent times. Sensing dielectric property differences of tissues has been studied over a wide frequency band for this application. We design single- and dual-polarization antennas for wireless ultrawideband breast cancer detection systems using an inhomogeneous multilayer model of the human breast. Antennas made from flexible materials are more easily adapted to wearable applications. Miniaturized flexible monopole and spiral antennas on a 50-μm Kapton polyimide are designed, using a high-frequency structure simulator, to be in contact with biological breast tissues. The proposed antennas are designed to operate in a frequency range of 2-4 GHz (with reflection coefficient (S11) below -10 dB). Measurements show that the flexible antennas have good impedance matching when in different positions with different curvature around the breast. Our miniaturized flexible antennas are 20 mm × 20 mm. Furthermore, two flexible conformal 4 × 4 ultrawideband antenna arrays (single and dual polarization), in a format similar to that of a bra, were developed for a radar-based breast cancer detection system. By using a reflector for the arrays, the penetration of the propagated electromagnetic waves from the antennas into the breast can be improved by factors of 3.3 and 2.6, respectively.

  1. Alterations of the exo- and endometabolite profiles in breast cancer cell lines: A mass spectrometry-based metabolomics approach.

    Science.gov (United States)

    Willmann, Lucas; Schlimpert, Manuel; Hirschfeld, Marc; Erbes, Thalia; Neubauer, Hans; Stickeler, Elmar; Kammerer, Bernd

    2016-06-21

    In recent years, knowledge about metabolite changes which are characteristic for the physiologic state of cancer cells has been acquired by liquid chromatography coupled to mass spectrometry. Distinct molecularly characterized breast cancer cell lines provide an unbiased and standardized in vitro tumor model reflecting the heterogeneity of the disease. Tandem mass spectrometry is a widely applied analytical platform and highly sensitive technique for analysis of complex biological samples. Endo- and exometabolite analysis of the breast cancer cell lines MDA-MB-231, -453 and BT-474 as well as the breast epithelial cell line MCF-10A has been performed using two different analytical platforms: UPLC-ESI-Q-TOF based on a scheduled precursor list has been applied for highlighting of significant differences between cell lines and HPLC-ESI-QqQ using multiple reaction monitoring has been utilized for a targeted approach focusing on RNA metabolism and interconnected pathways, respectively. Statistical analysis enabled a clear discrimination of the breast epithelial from the breast cancer cell lines. As an effect of oxidative stress, a decreased GSH/GSSG ratio has been detected in breast cancer cell lines. The triple negative breast cancer cell line MDA-MB-231 showed an elevation in nicotinamide, 1-ribosyl-nicotinamide and NAD+ reflecting the increased energy demand in triple negative breast cancer, which has a more aggressive clinical course than other forms of breast cancer. Obtained distinct metabolite pattern could be correlated with distinct molecular characteristics of breast cancer cells. Results and methodology of this preliminary in vitro study could be transferred to in vivo studies with breast cancer patients.

  2. 乳腺肿块腋窝淋巴结超声造影与人乳腺珠蛋白基因检测对比研究%A Research on Contrast- enhanced Ultrasound and Detection of Human Mammaglobin Gene in Axilla Lymph Node of Breast Masses

    Institute of Scientific and Technical Information of China (English)

    王倩; 米成嵘; 王文

    2011-01-01

    目的 通过分析乳腺肿块患者皮下注射超声造影剂(SonoVue)后腋窝淋巴结(ALN)的增强情况并检测前哨淋巴结(SLN)中人乳腺珠蛋白基因(hMAMmRNA)的表达,探讨超声造影与hMAMmRNA检测在诊断乳腺癌SLN的应用前景.方法 21例乳腺肿块患者的肿物周围相同部位皮下先后分别注射造影剂和美蓝,观察同侧ALN的增强情况,术前对SLN标记,术后离体标本行病理及hMAMmRNA的逆转录-聚合酶链式反应(RT-PCR)检测.结果 21例患者造影后15例检出SLN,检出率71.4%(15/21),美蓝染色后检出SLN 19例,检出率90.5%(19/21),两组诊断准确率差异无统计学意义(P>0.05).恶性者共检出SLN 38个,病理显示15个转移,RT-PCR有26个阳性;良性患者11个SLN,且病理与RT-PCR均为阴性;两者检测的阳性率分别为75.5%(37/49)、97.9%(48/49),差异有统计学意义.结论 皮下注射SonoVue超声造影可较好地检测出SLN并可判断其良恶性.%Objective To evaluate the clinical value of SonoVue in sentinel lymphatic node (SLN) in patients with breast masses by analyzing the enhanced phase of axillary lymph node (ALN) after subcutaneous injection SonoVue and detecting the expression of human mammaglobin (hMAM) in ALN of human breast masses.Methods 21 cases with breast masses were injected subcutaneously with contrast agent and Methylene blue successively to the same position of borderline of breast tumor.The enhanced phases of ipsilateral ALN were observed.The all SLNs were marked preoperatively and were examined with routine pathological and hMAM of reverse transcription- polymerase chain reaction (RT- PCR)test postoperatively.Results 15 patients were detected SLN after angiography, the success rate was 71.4% (15/21).19 cases detected SLN after methylene blue, the detection rate was 90.5% ( 19/21 ).No significant difference of detection between the two methods was found; 49 SLNs were detected ( benign 11; malignant 38 ), pathology showed that 26 of

  3. Significance of nuclear morphometry in cytological aspirates of breast masses

    Directory of Open Access Journals (Sweden)

    Kalhan Shivani

    2010-01-01

    Full Text Available Background : Breast carcinoma is the most common malignancy globally. Cytological evaluation in breast lesions is largely subjective. Gradual progression of cells from normal to invasive involves nuclear changes that need to be viewed objectively. Aims : This study aims to apply nuclear morphometry on cytological breast aspirates. It evaluates its utility in differentiating benign vs. malignant lesions and correlates it with cytologic grading in malignant cases. Setting and Design : Nuclear morphometric parameters of malignant and benign cases were compared. Parameters of malignant cases were correlated with cytologic grading. Materials and Methods : Cytology was used to categorize aspirates from breast lumps into malignant (53 cases and benign (29 cases. One hundred cells per case in both groups were mapped on DEBEL Cytoscan and six geometrical and three textural parameters obtained were compared. In malignant cases, morphometry was correlated with Robinson′s cytologic grading, which was further correlated in tissue sections (45 cases with modified Scarff-Bloom-Richardson histologic grading. Statistical Analysis : Students "t"-test was applied for comparison between benign and malignant cases. One-way ANOVA followed by Bonferroni′s post hoc comparison was applied to compare the three cytologic grades. Results were considered significant when P<0.05. Results : Nuclear morphometry successfully differentiated between benign and malignant aspirates and correlated significantly with cytologic grades. Morphometry was especially useful in the diagnosis of atypical ductal hyperplasia and ductal carcinoma in situ. Useful parameters were mean nuclear area, long axis, short axis and total run length. Cytohistologic correlation was 83.3%, 88.9% and 88.9% for cytological grades 1, 2 and 3 respectively. Conclusions : Nuclear morphometry was thus a useful objective tool in the evaluation of breast masses.

  4. Breast cancer detection: radiologists' performance using mammography with and without automated whole-breast ultrasound.

    Science.gov (United States)

    Kelly, Kevin M; Dean, Judy; Lee, Sung-Jae; Comulada, W Scott

    2010-11-01

    Radiologist reader performance for breast cancer detection using mammography plus automated whole-breast ultrasound (AWBU) was compared with mammography alone. Screenings for non-palpable breast malignancies in women with radiographically dense breasts with contemporaneous mammograms and AWBU were reviewed by 12 radiologists blinded to the diagnoses; half the studies were abnormal. Readers first reviewed the 102 mammograms. The American College of Radiology (ACR) Breast Imaging Reporting and Data System (BIRADS) and Digital Mammographic Imaging Screening Trial (DMIST) likelihood ratings were recorded with location information for identified abnormalities. Readers then reviewed the mammograms and AWBU with knowledge of previous mammogram-only evaluation. We compared reader performance across screening techniques using absolute callback, areas under the curve (AUC), and figure of merit (FOM). True positivity of cancer detection increased 63%, with only a 4% decrease in true negativity. Reader-averaged AUC was higher for mammography plus AWBU compared with mammography alone by BIRADS (0.808 versus 0.701) and likelihood scores (0.810 versus 0.703). Similarly, FOM was higher for mammography plus AWBU compared with mammography alone by BIRADS (0.786 versus 0.613) and likelihood scores (0.791 versus 0.614). Adding AWBU to mammography improved callback rates, accuracy of breast cancer detection, and confidence in callbacks for dense-breasted women.

  5. Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images.

    Science.gov (United States)

    Wu, Shandong; Weinstein, Susan P; Conant, Emily F; Schnall, Mitchell D; Kontos, Despina

    2013-04-01

    Breast magnetic resonance imaging (MRI) plays an important role in the clinical management of breast cancer. Computerized analysis is increasingly used to quantify breast MRI features in applications such as computer-aided lesion detection and fibroglandular tissue estimation for breast cancer risk assessment. Automated segmentation of the whole-breast as an organ from the other parts imaged is an important step in aiding lesion localization and fibroglandular tissue quantification. For this task, identifying the chest wall line (CWL) is most challenging due to image contrast variations, intensity discontinuity, and bias field. In this work, the authors develop and validate a fully automated image processing algorithm for accurate delineation of the CWL in sagittal breast MRI. The CWL detection is based on an integrated scheme of edge extraction and CWL candidate evaluation. The edge extraction consists of applying edge-enhancing filters and an edge linking algorithm. Increased accuracy is achieved by the synergistic use of multiple image inputs for edge extraction, where multiple CWL candidates are evaluated by the dynamic time warping algorithm coupled with the construction of a CWL reference. Their method is quantitatively validated by a dataset of 60 3D bilateral sagittal breast MRI scans (in total 3360 2D MR slices) that span the full American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) breast density range. Agreement with manual segmentation obtained by an experienced breast imaging radiologist is assessed by both volumetric and boundary-based metrics, including four quantitative measures. In terms of breast volume agreement with manual segmentation, the overlay percentage expressed by the Dice's similarity coefficient is 95.0% and the difference percentage is 10.1%. More specifically, for the segmentation accuracy of the CWL boundary, the CWL overlay percentage is 92.7% and averaged deviation distance is 2.3 mm. Their method

  6. Breast-Specific γ-Imaging for the Detection of Mammographically Occult Breast Cancer in Women at Increased Risk.

    Science.gov (United States)

    Brem, Rachel F; Ruda, Rachel C; Yang, Jialu L; Coffey, Caitrín M; Rapelyea, Jocelyn A

    2016-05-01

    Breast-specific γ-imaging (BSGI) is a physiologic imaging modality that can detect subcentimeter and mammographically occult breast cancer, with a sensitivity and specificity comparable to MRI. The purpose of this study was to determine the incremental increase in breast cancer detection when BSGI is used as an adjunct to mammography in women at increased risk for breast cancer. All patients undergoing BSGI from April 2010 through January 2014 were retrospectively reviewed. Eligible patients were identified as women at increased risk for breast cancer and whose most recent mammogram was benign. Examinations exhibiting focally increased radiotracer uptake were considered positive. Incremental increase in cancer detection was calculated as the percentage of mammographically occult BSGI-detected breast cancer and the number of mammographically occult breast cancers detected per 1,000 women screened. Included in this study were 849 patients in whom 14 BSGI examinations detected mammographically occult breast cancer. Patients ranged in age from 26 to 83 y, with a mean age of 57 y. Eleven of 14 cancers were detected in women with dense breasts. The addition of BSGI to the annual breast screen of asymptomatic women at increased risk for breast cancer yields 16.5 cancers per 1,000 women screened. When high-risk lesions and cancers were combined, BSGI detected 33.0 high-risk lesions and cancers per 1,000 women screened. BSGI is a reliable adjunct modality to screening mammography that increases breast cancer detection by 1.7% (14/849) in women at increased risk for breast cancer, comparable to results reported for breast MRI. BSGI is beneficial in breast cancer detection in women at increased risk, particularly in those with dense breasts. © 2016 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

  7. Significance of screening mammography in the detection of breast diseases

    Energy Technology Data Exchange (ETDEWEB)

    Ham, Soo Youn; Kim, Kyoung Ah; Oh, Yu Whan; Kim, Hong In; Chung, Kyoo Byung [College of Medicine Korea University, Seoul (Korea, Republic of)

    1995-02-15

    To evaluate the clinical significance of the screening mammography in the detection of the breast diseases, especially breast carcinoma. We analyzed 1,800 cases of mammography retrospectively. The mammography was done as a part of routine check in Health Counselling Center, Korea University Medical Center, during 9 months from November 1993 to July 1994. The age range was from 23 years to 76 years, mean 49.8 years, and the largest age group was 6th decade (31.4%). According to the mammographic findings, we divided the subjects into three groups; normal group, abnormal group in need of follow-up study, abnormal group requiring biopsy. On mammography, the normal group consisted of 1,534 cases (85%), and the abnormal group consisted of 266 cases (15%). The abnormal findings were benign-looking calcification (n = 140), fibroadeno ma (n = 29), fibrocystic changes (n = 27), cyst (n = 23), malignant lesion (n = 15) lipoma (n = 7), and others. In four of 15 cases, which were suspected to be malignant on mammograms, breast carcinoma was confirmed pathologically. In four cases of breast carcinoma, one was under 40 and the other 3 were over 50 years of age. All of the breast cancers were under 3 cm in size, and the mammographic findings of breast cancer included spiculated margin (n = 3), parenchymal distortion (n = 3), malignant calcification (n = 2) and enlarged axillary node (n = 1). Screening mammogram is helpful for early detection of non-palpable breast cancer, especially for women over 50 years of age.

  8. Use of Autoantibodies to Detect the Onset of Breast Cancer

    Directory of Open Access Journals (Sweden)

    Jérôme Lacombe

    2014-01-01

    Full Text Available The widespread use of screening mammography has resulted in increased detection of early-stage breast disease, particularly for in situ carcinoma and early-stage breast cancer. However, the majority of women with abnormalities noted on screening mammograms are not diagnosed with cancer because of several factors, including radiologist assessment, patient age, breast density, malpractice concerns, and quality control procedures. Although magnetic resonance imaging is a highly sensitive detection tool that has become standard for women at very high risk of developing breast cancer, it lacks sufficient specificity and costeffectiveness for use as a general screening tool. Therefore, there is an important need to improve screening and diagnosis of early-invasive and noninvasive tumors, that is, in situ carcinoma. The great potential for molecular tools to improve breast cancer outcomes based on early diagnosis has driven the search for diagnostic biomarkers. Identification of tumor-specific markers capable of eliciting an immune response in the early stages of tumor development seems to provide an effective approach for early diagnosis. The aim of this review is to describe several autoantibodies identified during breast cancer diagnosis. We will focus on these molecules highlighted in the past two years and discuss the potential future use of autoantibodies as biomarkers of early-stage breast cancer.

  9. Design of Microwave Camera for Breast Cancer Detection

    DEFF Research Database (Denmark)

    Zhurbenko, Vitaliy

    2008-01-01

    Among the various alternative breast imaging modalities to improve breast cancer detection, microwave imaging is attractive due to the high dielectric property contrast between the cancerous and normal tissue and has received a significant interest over the last decade. This thesis presents......-end is designed, which allows to further improve the imaging system performance and reduces the cost of such class of instruments. The integrated circuit has been realised in a GaAs 0.18 μm pHEMT process and provides the main functions of a front-end, such as multiplexing, amplification, and mixing...... the research and development of a microwave imaging system capable of reconstructing the dielectric properties of the female breast. As part of this study, a brief review of the ongoing research in the field of microwave imaging of biological tissues is given, with major focus on the breast tumor detection...

  10. The assessment of sensory detection thresholds on the perineum and breast compared with control body sites.

    Science.gov (United States)

    Cordeau, Dany; Bélanger, Marc; Beaulieu-Prévost, Dominic; Courtois, Frédérique

    2014-07-01

    Few studies explored multiple sensory detection thresholds on the perineum and breast, but these normative data may provide standards for clinical conditions such as aging, genital and breast surgeries, pathological conditions affecting the genitals, and sexual function. The aim of this study was to provide normative data on sensory detection thresholds of three sensory modalities on the perineum and breast. Thirty healthy women aged between 18 and 35 years were assessed on the perineum (clitoris, labia minora, vaginal, and anal margin), breast (lateral, areola, nipple), and control body locations (neck, forearm, abdomen) for three sensory modalities (light touch, pressure, vibration). Average detection thresholds for each body location and sensory modality and statistical comparisons between the primary genital, secondary sexual, and neutral zones were the main outcome measures. Average detection thresholds for light touch suggest that the neck, forearm, and vaginal margin are most sensitive, and areola least sensitive. No statistical difference is found between the primary and secondary sexual zones, but the secondary sexual zone is significantly more sensitive than the neutral zone. Average detection thresholds for pressure suggest that the clitoris and nipple are most sensitive, and the lateral breast and abdomen least sensitive. No statistical difference is found between the primary and secondary sexual zone, but they are both significantly more sensitive than the neutral zone. Average detection thresholds for vibration suggest that the clitoris and nipple are most sensitive. The secondary sexual zone is significantly more sensitive than the primary and neutral zone, but the latter two show no difference. The current normative data from sensory detection threshold are discussed in terms of providing standard values for research and clinical conditions. Additional analysis from breast volume, body mass index, hormonal contraception, menstrual cycle, and sexual

  11. Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis

    Science.gov (United States)

    Kim, Dae Hoe; Kim, Seong Tae; Chang, Jung Min; Ro, Yong Man

    2017-02-01

    Characterization of masses in computer-aided detection systems for digital breast tomosynthesis (DBT) is an important step to reduce false positive (FP) rates. To effectively differentiate masses from FPs in DBT, discriminative mass feature representation is required. In this paper, we propose a new latent feature representation boosted by depth directional long-term recurrent learning for characterizing malignant masses. The proposed network is designed to encode mass characteristics in two parts. First, 2D spatial image characteristics of DBT slices are encoded as a slice feature representation by convolutional neural network (CNN). Then, depth directional characteristics of masses among the slice feature representations are encoded by the proposed depth directional long-term recurrent learning. In addition, to further improve the class discriminability of latent feature representation, we have devised three objective functions aiming to (a) minimize classification error, (b) minimize intra-class variation within the same class, and (c) preserve feature representation consistency in a central slice. Experimental results have demonstrated that the proposed latent feature representation achieves a higher level of classification performance in terms of receiver operating characteristic (ROC) curves and the area under the ROC curve values compared to performance with feature representation learned by conventional CNN and hand-crafted features.

  12. Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis.

    Science.gov (United States)

    Kim, Dae Hoe; Kim, Seong Tae; Chang, Jung Min; Ro, Yong Man

    2017-02-07

    Characterization of masses in computer-aided detection systems for digital breast tomosynthesis (DBT) is an important step to reduce false positive (FP) rates. To effectively differentiate masses from FPs in DBT, discriminative mass feature representation is required. In this paper, we propose a new latent feature representation boosted by depth directional long-term recurrent learning for characterizing malignant masses. The proposed network is designed to encode mass characteristics in two parts. First, 2D spatial image characteristics of DBT slices are encoded as a slice feature representation by convolutional neural network (CNN). Then, depth directional characteristics of masses among the slice feature representations are encoded by the proposed depth directional long-term recurrent learning. In addition, to further improve the class discriminability of latent feature representation, we have devised three objective functions aiming to (a) minimize classification error, (b) minimize intra-class variation within the same class, and (c) preserve feature representation consistency in a central slice. Experimental results have demonstrated that the proposed latent feature representation achieves a higher level of classification performance in terms of receiver operating characteristic (ROC) curves and the area under the ROC curve values compared to performance with feature representation learned by conventional CNN and hand-crafted features.

  13. Early Detection of Breast Cancer Using Molecular Beacons

    Science.gov (United States)

    2008-01-01

    exfoliated cells in body fluids is more quantitative than that detected in cancer cells on frozen tissue sections because most cells in tissue sections...the MB and QD detections are more specific and sensitive than cytological method in detecting breast cancer cells. The proposed study will also...Lewis) for the presence of benign, atypical or malignant cells. We will then compare the results of the MB and QD detection with cytological findings

  14. Two dimensional echocardiographic detection of intraatrial masses.

    Science.gov (United States)

    DePace, N L; Soulen, R L; Kotler, M N; Mintz, G S

    1981-11-01

    With two dimensional echocardiography, a left atrial mass was detected in 19 patients. Of these, 10 patients with rheumatic mitral stenosis had a left atrial thrombus. The distinctive two dimensional echocardiographic features of left atrial thrombus included a mass of irregular nonmobile laminated echos within an enlarged atrial cavity, usually with a broad base of attachment to the posterior left atrial wall. Seven patients had a left atrial myxoma. Usually, the myxoma appeared as a mottled ovoid, sharply demarcated mobile mass attached to the interatrial septum. One patient had a right atrial angiosarcoma that appeared as a nonmobile mass extending from the inferior vena caval-right atrial junction into the right atrial cavity. One patient had a left atrial leiomyosarcoma producing a highly mobile mass attached to the lateral wall of the left atrium. M mode echocardiography detected six of the seven myxomas, one thrombus and neither of the other tumors. Thus, two dimensional echocardiography appears to be the technique of choice in the detection, localization and differentiation of intraatrial masses.

  15. Simultaneous mass detection for direct inlet mass spectrometry

    Energy Technology Data Exchange (ETDEWEB)

    Gordon, R.L.

    1979-05-01

    The evolution of analytical techniques for application in trace analysis has led to interest in practical methods for real-time monitoring. Direct inlet mass spectrometry (DIMS) has been the subject of considerable activity in recent years. A DIMS instrument is described which consists of an inlet system designed to permit particles entrained in the inlet air stream to strike a hot, oxidized rhenium filament which serves as a surface ionization source. A mass analyzer and detection system then permits identification of the elemental composition of particulates which strike the filament.

  16. Microwave Imaging for Breast Cancer Detection

    DEFF Research Database (Denmark)

    Rubæk, Tonny; Fhager, Andreas; Jensen, Peter Damsgaard

    2011-01-01

    Still more research groups are promoting microwave imaging as a viable supplement or substitution to more conventional imaging modalities. A widespread approach for microwave imaging of the breast is tomographic imaging in which one seeks to reconstruct the distributions of permittivity and condu......Still more research groups are promoting microwave imaging as a viable supplement or substitution to more conventional imaging modalities. A widespread approach for microwave imaging of the breast is tomographic imaging in which one seeks to reconstruct the distributions of permittivity...

  17. Usefulness limitation of 3D-ultrasound diagnosis of breast masses

    Energy Technology Data Exchange (ETDEWEB)

    Cheon, Yong Seok; Chung, Soo Young; Yang, Ik; Lee, Kyung Won; Kim, Hong Dae; Shin, Sang Joon; Chung, Bong Wha [College of Medicine, Hallym Univ., Seoul (Korea, Republic of)

    2001-09-01

    To compare 3D ultrasound (3D-US) with 2D ultrasound (2D-US) in terms of their usefulness and limitations in the diagnosis of breast masses. We obtained 2D and 3D US images of 37 breast lesions present in 20 cases of fibroadenoma, nine of cancer, and eight of fibrocystic disease proven in a total of 26 cases [ fibroadenoma (n=13), breast cancer (n=9), fibrocystic disease (n=4)] by histologic examination, and by clinical evaluation and clinical evaluation with sonographic imaging in eleven. When comparing 3D and 2D-US images we had no prior information regarding detection rate according to the size of lesions, whether or not internal and boundary echo patterns could be interpreted, accurate differentiation between tumorous and non-tumorous lesions, or the accuracy with which benign and malignant tumors could be differentiated. For lesions of 1 cm or less in diameter the detection rate of 3D-US was lower than that of 2D-US, but for lesions over 1 cm there was no difference between the two modalities. In fibroadenoma and breast cancer, 3D-US was more useful than 2D-US for the evaluation of both internal and boundary echo, but with fibrocystic disease and in the diagnosis of tumor/non-tumor, there was no significant difference. In breast cancer, however, 3D-US more accurately determined malignancy, and in fibroadenoma, because of the pseudospicule revealed by 3D-US, this modality was less exact in determining benignancy. In the evaluation of internal and boundary echo in breast mass diagnosis, 3D-US was more useful than its 2D counterpart. For lesions of 1 cm or less in diameter, however, the detection rate of 3D-US was more useful than its 2D counterpart. For lesions of 1 cm or less in diameter, however, the detection rate of 3D-US was low, and since in some benign cases a pseudospicule was apparent, the possibility of confusion with malignancy arose. For these reasons, the usefulness of 3D-US was limited.

  18. Cone beam breast CT with multiplanar and three dimensional visualization in differentiating breast masses compared with mammography

    Energy Technology Data Exchange (ETDEWEB)

    Zhao, Binghui [Department of Radiology, Shanghai Tenth People' s Hospital, Tongji University, Shanghai 200072 (China); Zhang, Xiaohua [Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627 (United States); Cai, Weixing [Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 (United States); Conover, David [Koning Corporation, West Henrietta, NY 14586 (United States); Ning, Ruola, E-mail: ruola_ning@urmc.rochester.edu [Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 (United States)

    2015-01-15

    Objective: This pilot study was to evaluate cone beam breast computed tomography (CBBCT) with multiplanar and three dimensional (3D) visualization in differentiating breast masses in comparison with two-view mammograms. Methods: Sixty-five consecutive female patients (67 breasts) were scanned by CBBCT after conventional two-view mammography (Hologic, Motarget, compression factor 0.8). For CBBCT imaging, three hundred (1024 × 768 × 16 b) two-dimensional (2D) projection images were acquired by rotating the x-ray tube and a flat panel detector (FPD) 360 degree around one breast. Three-dimensional CBBCT images were reconstructed from the 2D projections. Visage CS 3.0 and Amira 5.2.2 were used to visualize reconstructed CBBCT images. Results: Eighty-five breast masses in this study were evaluated and categorized under the breast imaging reporting and data system (BI-RADS) according to plain CBBCT images and two-view mammograms, respectively, prior to biopsy. BI-RADS category of each breast was compared with biopsy histopathology. The results showed that CBBCT with multiplanar and 3D visualization would be helpful to identify the margin and characteristics of breast masses. The category variance ratios for CBBCT under the BI-RADS were 23.5% for malignant tumors (MTs) and 27.3% for benign lesions in comparison with pathology, which were evidently closer to the histopathology results than those of two-view mammograms, p value <0.01. With the receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) of CBBCT was 0.911, larger than that (AUC 0.827) of two-view mammograms, p value <0.01. Conclusion: CBBCT will be a distinctive noninvasive technology in differentiating and categorizing breast masses under BI-RADS. CBBCT may be considerably more effective to identify breast masses, especially some small, uncertain or multifocal masses than conventional two-view mammography.

  19. Breast Cancer Detection Using Optical Vascular Fusion

    Science.gov (United States)

    2005-06-01

    to Action: Seeking Solutions, the 2005 California Breast Cancer Research Symposium, Sacramento , CA, September 9-11, 2005. • Kenneth T. Kotz, Khalid...Biophys. Acta 933, pp. 184-192, 1988. 152 Proc. of SPIE Vol. 4955 43. B. J. Tromberg, N. Shah, R. Lanning, A. Cerussi, J. Espinoza , T. Pham, L

  20. Usefulness of sonography in women less than 35 years old with palpable breast masses

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Hyun Ju; Chung, Hyun Ung; Park, Jin Gyoon; Seo, Jeong Jin; Kang, Heoung Keun; Kim, Jae Kyu; Chung, Hyon De [Chonnam National University College of Medicine, Gwangju (Korea, Republic of)

    1994-12-15

    To assess the usefulness of sonography in the evaluation of palpable mass in patients less than 35 years old,the breast sonograms and mammograms of 105 histopathologically proved cases were retrospectively reviewed. Breast parenchymal patterns on mammogram, sensitivity of sonography and mammography in the diagnosis of palpable breast masses, and sonographic findings of breast masses were analyzed. Grade IV breast parenchymal pattern was demonstrated in 44 of 76 mammogram (57.9%). The incidence of Grade IV pattern increased, as the patients' age became younger. The sensitivity of sonography (81.3%) was higher than that of mammography (45.3%) in the evaluation of the benign breast lesions. However, the sensitivity of both modalities were nearly equal (66.7% and 58.3% respectively) in the evaluation of the breast cancers. Sonographic findings of fibroadenoma included oval,well defined border, smooth contour, weak homogeneous internal echoes, posterior sonic enhancement, and bilateral shadows. On the other hand, breast cancer exhibited poorly defined border, irregular contour, and inhomogeneous hypoechoic mass with posterior sonic attenuation. In summary, sonography was useful in the evaluation of the palpable breast mass in women less than 35 years old. Choreoathetotic sonographic findings might help the differential diagnosis of breast masses

  1. Millimeter Wave Spectroscopy for Breast Cancer Diagnostics and Detection

    Science.gov (United States)

    Korolev, Konstantin; Chen, Shu; Afsar, Mohammed; Naber, Stephen

    2009-03-01

    Broad-band millimeter wave transmittance measurements of normal and tumorous (cancerous) human breast tissue samples have been acquired in--vitro by employing a free-space, quasi-optical spectrometer. Freshly excised breast tissues were prepared and preserved in 10% neutral-buffered formalin solution before testing. Significant differences in the transmittance profiles have been found between the normal and tumorous tissues. It has been found that despite the inhomogeneity and variable structure and composition of each single tissue, the tumorous specimens consistently manifest much higher absorption level of millimeter wave radiation than the normal ones. It has been shown that free space, quasi-optical spectrometer is capable of contributing valuable insights into the dielectric properties of normal and tumorous human breast tissues and aiding in further developments of millimeter wave spectroscopy and mammography for the breast cancer diagnostics and detection.

  2. Abbreviated MRI protocols for detecting breast cancer in women with dense breasts

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Shung Qing; Huang, Min; Shen, Yu Ying; Liu, Chen Lu; Xu, Chuan Xiao [The Affiliated Suzhou Hospital, Nanjing Medical University, Suzhou (China)

    2017-06-15

    To evaluate the validity of two abbreviated protocols (AP) of MRI in breast cancer screening of dense breast tissue. This was a retrospective study in 356 participants with dense breast tissue and negative mammography results. The study was approved by the Nanjing Medical University Ethics Committee. Patients were imaged with a full diagnostic protocol (FDP) of MRI. Two APs (AP-1 consisting of the first post-contrast subtracted [FAST] and maximum-intensity projection [MIP] images, and AP-2 consisting of AP-1 combined with diffusion-weighted imaging [DWI]) and FDP images were analyzed separately, and the sensitivities and specificities of breast cancer detection were calculated. Of the 356 women, 67 lesions were detected in 67 women (18.8%) by standard MR protocol, and histological examination revealed 14 malignant lesions and 53 benign lesions. The average interpretation time of AP-1 and AP-2 were 37 seconds and 54 seconds, respectively, while the average interpretation time of the FDP was 3 minutes and 25 seconds. The sensitivities of the AP-1, AP-2, and FDP were 92.9, 100, and 100%, respectively, and the specificities of the three MR protocols were 86.5, 95.0, and 96.8%, respectively. There was no significant difference among the three MR protocols in the diagnosis of breast cancer (p > 0.05). However, the specificity of AP-1 was significantly lower than that of AP-2 (p = 0.031) and FDP (p = 0.035), while there was no difference between AP-2 and FDP (p > 0.05). The AP may be efficient in the breast cancer screening of dense breast tissue. FAST and MIP images combined with DWI of MRI are helpful to improve the specificity of breast cancer detection.

  3. Significance of the detection of esters of p-hydroxybenzoic acid (parabens) in human breast tumours.

    Science.gov (United States)

    Harvey, Philip W; Everett, David J

    2004-01-01

    This issue of Journal of Applied Toxicology publishes the paper Concentrations of Parabens in Human Breast Tumours by Darbre et al. (2004), which reports that esters of p-hydroxybenzoic acid (parabens) can be detected in samples of tissue from human breast tumours. Breast tumour samples were supplied from 20 patients, in collaboration with the Edinburgh Breast Unit Research Group, and analysed by high-pressure liquid chromatography and tandem mass spectrometry. The parabens are used as antimicrobial preservatives in underarm deodorants and antiperspirants and in a wide range of other consumer products. The parabens also have inherent oestrogenic and other hormone related activity (increased progesterone receptor gene expression). As oestrogen is a major aetiological factor in the growth and development of the majority of human breast cancers, it has been previously suggested by Darbre that parabens and other chemicals in underarm cosmetics may contribute to the rising incidence of breast cancer. The significance of the finding of parabens in tumour samples is discussed here in terms of 1). Darbre et al's study design, 2). what can be inferred from this type of data (and what can not, such as the cause of these tumours), 3). the toxicology of these compounds and 4). the limitations of the existing toxicology database and the need to consider data that is appropriate to human exposures. Copyright 2004 John Wiley & Sons, Ltd.

  4. Value of ultrasound elastography in detecting small breast tumors

    Institute of Scientific and Technical Information of China (English)

    FU Li-na; WANG Yi; WANG Yong; HUANG Yong-hong

    2011-01-01

    Background Detecting small breast tumors is difficult for conventional ultrasound. The goal of this study was to assess the value of ultrasound elastography in characterizing small breast tumors and to compare its sensitivity, specificity and accuracy with conventional ultrasound. Methods A total of 308 breast tumors less than 2 cm in size from 283 in-hospital patients examined with both conventional ultrasound and ultrasound elastography were retrospectively analyzed. The results were compared to surgical pathology. Results There were 104 malignant and 204 benign lesions. The sensitivities of sonography and sonoelastography were similar (P <0.05), and the sensitivity of the two modalities combined improved remarkably to 97.1%. The mean elastic score of malignant and benign tumors less than 2 cm were 3.76±1.01 and 1.73±0.99, respectively (P<0.05), and the mean elastic score of the false-negative lesions on conventional ultrasound was 3.61 ±1.14. Conclusions Ultrasound elastography in combination with conventional ultrasound can improve the sensitivity for detecting small breast tumors. It is also valuable in detecting small malignant tumors which are difficult to diagnose with conventional ultrasound. Ultrasound elastography can be a useful adjunct to conventional ultrasound in diagnosing small breast tumors.

  5. Super Sensitive Mass Detection in Nonlinear Regime

    Science.gov (United States)

    Azizi, Saber; Ahmadian, Iman; Cetinkaya, Cetin; Rezazadeh, Ghader

    2015-11-01

    Nonlinear dynamics of a clamped-clamped micro-beam exposed to a two sided electrostatic actuation is investigated to determine super sensitive regions for mass detection. The objective is to investigate the sensitivity of the frequency spectrum of various regions in the phase space to the added mass and force the system to operate in its super sensitive regions by applying an appropriate pulse to its control electrodes. The electrostatic actuation in the top electrode is a combination of a DC, AC and a pulse voltage, the excitation on the lower electrode is only a DC and a pulse voltage. The governing equation of the motion, derived using the Hamiltonian principle, is discretized to an equivalent single-degree of freedom system using the Galerkin method. Depending on the applied electrostatic voltage to the micro-beam, it is demonstrated that the number and types of equilibrium points of the system can be modified. In this study, the level of the DC electrostatic voltage is chosen such a way that the system has three equilibrium points including two centers and a saddle node where the homoclinic orbit originates. According to the reported results, the mass sensing sensitivity depends on the operating orbit; some orbits exhibit considerably higher mass detection sensitivity to the added mass compared to that of a typical quartz crystal micro balance instrument.

  6. Enhancing Tumor Detection in IR-UWB Breast Cancer System

    Directory of Open Access Journals (Sweden)

    Sara Fouad

    2017-01-01

    Full Text Available An ultra-wideband (UWB microwave system for breast cancer detection is presented. The proposed system includes monocycle pulse generator, antipodal Vivaldi antenna, breast model, and calibration algorithm for tumor detection. Firstly, our pulse generator employs transmission gate in glitch generator to achieve several advantages such as low power consumption and low ringing level. Secondly, the antipodal Vivaldi antenna is designed assuming FR4 dielectric substrate material, and developed antenna element (80×80 mm2 features a −10 dB return loss and bandwidth ranges from 2.3 GHz to more than 11 GHz. Thirdly, the phantom breast can be modeled as a layer of skin, fat, and then tumor is inserted in this layer. Finally, subtract and add algorithm (SAD is used as a calibration algorithm in tumor detection system. The proposed system suggested that horizontal antenna position with 90° between transmitting and receiving antennas is localized as a suitable antenna position with different rotating location and a 0.5 cm near to phantom. The mean advantages of this localization and tracking position around breast is a high received power signal approximately around mv as a higher recognized signal in tumor detection. Using our proposed system we can detect tumor in 5 mm diameter.

  7. Fingerprinting Breast Cancer vs. Normal Mammary Cells by Mass Spectrometric Analysis of Volatiles

    Science.gov (United States)

    He, Jingjing; Sinues, Pablo Martinez-Lozano; Hollmén, Maija; Li, Xue; Detmar, Michael; Zenobi, Renato

    2014-06-01

    There is increasing interest in the development of noninvasive diagnostic methods for early cancer detection, to improve the survival rate and quality of life of cancer patients. Identification of volatile metabolic compounds may provide an approach for noninvasive early diagnosis of malignant diseases. Here we analyzed the volatile metabolic signature of human breast cancer cell lines versus normal human mammary cells. Volatile compounds in the headspace of conditioned culture medium were directly fingerprinted by secondary electrospray ionization-mass spectrometry. The mass spectra were subsequently treated statistically to identify discriminating features between normal vs. cancerous cell types. We were able to classify different samples by using feature selection followed by principal component analysis (PCA). Additionally, high-resolution mass spectrometry allowed us to propose their chemical structures for some of the most discriminating molecules. We conclude that cancerous cells can release a characteristic odor whose constituents may be used as disease markers.

  8. Breast mass classification on mammograms using radial local ternary patterns.

    Science.gov (United States)

    Muramatsu, Chisako; Hara, Takeshi; Endo, Tokiko; Fujita, Hiroshi

    2016-05-01

    Textural features can be useful in differentiating between benign and malignant breast lesions on mammograms. Unlike previous computerized schemes, which relied largely on shape and margin features based on manual contours of masses, textural features can be determined from regions of interest (ROIs) without precise lesion segmentation. In this study, therefore, we investigated an ROI-based feature, namely, radial local ternary patterns (RLTP), which takes into account the direction of edge patterns with respect to the center of masses for classification of ROIs for benign and malignant masses. Using an artificial neural network (ANN), support vector machine (SVM) and random forest (RF) classifiers, the classification abilities of RLTP were compared with those of the regular local ternary patterns (LTP), rotation invariant uniform (RIU2) LTP, texture features based on the gray level co-occurrence matrix (GLCM), and wavelet features. The performance was evaluated with 376 ROIs including 181 malignant and 195 benign masses. The highest areas under the receiver operating characteristic curves among three classifiers were 0.90, 0.77, 0.78, 0.86, and 0.83 for RLTP, LTP, RIU2-LTP, GLCM, and wavelet features, respectively. The results indicate the usefulness of the proposed texture features for distinguishing between benign and malignant lesions and the superiority of the radial patterns compared with the conventional rotation invariant patterns.

  9. Flexible sixteen monopole antenna array for microwave breast cancer detection.

    Science.gov (United States)

    Bahrami, H; Porter, E; Santorelli, A; Gosselin, B; Popovic, M; Rusch, L A

    2014-01-01

    Radar based microwave imaging (MI) has been widely studied for breast cancer detection in recent times. Sensing dielectric property differences of tissues over a wide frequency band has been made possible by ultra-wideband (UWB) techniques. In this paper, a flexible, compact monopole antenna on a 100 μm Kapton polyimide is designed, using a high frequency structure simulator (HFSS), to be in contact with biological breast tissues over the 2-5GHz frequency range. The antenna parameters are optimized to obtain a good impedance match over the required frequency range. The designed antenna size is 18mm × 18mm. Further, a flexible conformal 4×4 ultra-wideband antenna array, in a format similar to that of a bra, was developed for a radar-based breast cancer detection system.

  10. Liquid crystal foil for the detection of breast cancer

    Science.gov (United States)

    Biernat, Michał; Trzyna, Marcin; Byszek, Agnieszka; Jaremek, Henryk

    2016-09-01

    Breast cancer is the most common malignant tumor in females around the world, representing 25.2% of all cancers in women. About 1.7 million women were diagnosed with breast cancer worldwide in 2012 with a death rate of about 522,0001,2. The most frequently used methods in breast cancer screening are imaging methods, i.e. ultrasonography and mammography. A common feature of these methods is that they inherently involve the use of expensive and advanced equipment. The development of advanced computer systems allowed for the continuation of research started already in the 1980s3 and the use of contact thermography in breast cancer screening. The physiological basis for the application of thermography in medical imaging diagnostics is the so-called dermothermal effect related to higher metabolism rate around focal neoplastic lesion. This phenomenon can occur on breast surface as localized temperature anomalies4. The device developed by Braster is composed of a detector that works on the basis of thermotropic liquid crystals, image acquisition device and a computer system for image data processing and analysis. Production of the liquid crystal detector was based on a proprietary CLCF technology (Continuous Liquid Crystal Film). In 2014 Braster started feasibility study to prove that there is a potential for artificial intelligence in early breast cancer detection using Braster's proprietary technology. The aim of this study was to develop a computer system, using a client-server architecture, to an automatic interpretation of thermographic pictures created by the Braster devices.

  11. Optimizing ultrasound detection for sensitive 3D photoacoustic breast tomography

    NARCIS (Netherlands)

    Xia, Wenfeng

    2013-01-01

    The standard modality for breast cancer detection is X-ray imaging. Diagnosis is performed after the triple assessment of X-ray mammography assisted by ultrasonog- raphy and biopsy. Magnetic resonance imaging (MRI) is sometimes used in specific problem solving such as contradictory results are obtai

  12. Assessment and Development of Microwave Imaging for Breast Cancer Detection

    DEFF Research Database (Denmark)

    Jensen, Peter Damsgaard

    At the Technical University of Denmark (DTU), a 3D tomographic microwave imaging system is currently being developed with the aim of using nonlinear microwave imaging for breast-cancer detection. The imaging algorithm used in the system is based on an iterative Newton-type scheme. In this algorithm...

  13. Skin artifact removal technique for breast cancer radar detection

    Science.gov (United States)

    Caorsi, S.; Lenzi, C.

    2016-06-01

    In this paper we propose a new model-based skin artifact cleaning technique with the aim to remove skin reflections with good effectiveness, without introducing significant signal distortions, and without assuming a priori information on the real structure of the breast. The reference cleaning model, constituted by a two-layer geometry skin-adipose tissue, is oriented to all the ultrawideband radar methods able to detect the tumor starting by the knowledge of each trace recorded around the breast. All the radar signal measurements were simulated by using realistic breast models derived from the University of Wisconsin computational electromagnetic laboratory database and the finite difference time domain (FDTD)-based open source software GprMax. First, we have searched for the best configuration for the reference cleaning model with the aim to minimize the distortions introduced on the radar signal. Second, the performance of the proposed cleaning technique has been assessed by using a breast cancer radar detection technique based on the use of artificial neural network (ANN). In order to minimize the signal distortions, we found that it was necessary to use the real skin thickness and the static Debye parameters of both skin and adipose tissue. In such a case the ANN-based radar approach was able to detect the tumor with an accuracy of 87%. By extending the performance assessment also to the case when only average standard values are used to characterize the reference cleaning model, the detection accuracy was of 84%.

  14. 77 FR 66469 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

    Science.gov (United States)

    2012-11-05

    ... HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... meeting of the aforementioned committee: Name: Breast and Cervical Cancer Early Detection and Control..., regarding the early detection and control of breast and cervical cancer. The committee makes recommendations...

  15. Breast Cancer Detection with Reduced Feature Set.

    Science.gov (United States)

    Mert, Ahmet; Kılıç, Niyazi; Bilgili, Erdem; Akan, Aydin

    2015-01-01

    This paper explores feature reduction properties of independent component analysis (ICA) on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC) dataset is reduced to one-dimensional feature vector computing an independent component (IC). The original data with 30 features and reduced one feature (IC) are used to evaluate diagnostic accuracy of the classifiers such as k-nearest neighbor (k-NN), artificial neural network (ANN), radial basis function neural network (RBFNN), and support vector machine (SVM). The comparison of the proposed classification using the IC with original feature set is also tested on different validation (5/10-fold cross-validations) and partitioning (20%-40%) methods. These classifiers are evaluated how to effectively categorize tumors as benign and malignant in terms of specificity, sensitivity, accuracy, F-score, Youden's index, discriminant power, and the receiver operating characteristic (ROC) curve with its criterion values including area under curve (AUC) and 95% confidential interval (CI). This represents an improvement in diagnostic decision support system, while reducing computational complexity.

  16. Breast Cancer Detection with Reduced Feature Set

    Directory of Open Access Journals (Sweden)

    Ahmet Mert

    2015-01-01

    Full Text Available This paper explores feature reduction properties of independent component analysis (ICA on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC dataset is reduced to one-dimensional feature vector computing an independent component (IC. The original data with 30 features and reduced one feature (IC are used to evaluate diagnostic accuracy of the classifiers such as k-nearest neighbor (k-NN, artificial neural network (ANN, radial basis function neural network (RBFNN, and support vector machine (SVM. The comparison of the proposed classification using the IC with original feature set is also tested on different validation (5/10-fold cross-validations and partitioning (20%–40% methods. These classifiers are evaluated how to effectively categorize tumors as benign and malignant in terms of specificity, sensitivity, accuracy, F-score, Youden’s index, discriminant power, and the receiver operating characteristic (ROC curve with its criterion values including area under curve (AUC and 95% confidential interval (CI. This represents an improvement in diagnostic decision support system, while reducing computational complexity.

  17. Early Detection of Breast Cancer using SVM Classifier Technique

    CERN Document Server

    Rejani, Y Ireaneus Anna

    2009-01-01

    This paper presents a tumor detection algorithm from mammogram. The proposed system focuses on the solution of two problems. One is how to detect tumors as suspicious regions with a very weak contrast to their background and another is how to extract features which categorize tumors. The tumor detection method follows the scheme of (a) mammogram enhancement. (b) The segmentation of the tumor area. (c) The extraction of features from the segmented tumor area. (d) The use of SVM classifier. The enhancement can be defined as conversion of the image quality to a better and more understandable level. The mammogram enhancement procedure includes filtering, top hat operation, DWT. Then the contrast stretching is used to increase the contrast of the image. The segmentation of mammogram images has been playing an important role to improve the detection and diagnosis of breast cancer. The most common segmentation method used is thresholding. The features are extracted from the segmented breast area. Next stage include,...

  18. Detection of cellular senescence within human invasive breast carcinomas distinguishes different breast tumor subtypes.

    Science.gov (United States)

    Cotarelo, Cristina L; Schad, Arno; Kirkpatrick, Charles James; Sleeman, Jonathan P; Springer, Erik; Schmidt, Marcus; Thaler, Sonja

    2016-11-15

    Oncogene-induced senescence is thought to act as a barrier to tumorigenesis by arresting cells at risk of malignant transformation. Nevertheless, numerous findings suggest that senescent cells may conversely promote tumor progression through the development of the senescence-associated secretome they produce. It is likely that the composition and the physiological consequences mediated by the senescence secretome are dependent on the oncogenes that trigger the senescence program. Breast cancer represents a heterogenous disease that can be divided into breast cancer subtypes due to different subsets of genetic and epigenetic abnormalities. As tumor initiation and progression of these breast cancer subtypes is triggered by diverse oncogenic stimuli, differences in the senescence secretomes within breast tumors might be responsible for tumor initiation, progression, metastasis and therapeutic response. Many studies have addressed the role of senescence as a barrier to tumor progression using murine xenograft models. However, few investigations have been performed to elucidate the degree to which senescent tumor cells are present within untreated human tumors, and if present, whether these senescent tumor cells may play a role in disease progression. In the present study we analysed the appearance of senescent cells within invasive breast cancers. Detection of cellular senescence by the use of SAβ-galactosidase (SAβ-gal) staining within invasive breast carcinoms from 129 untreated patients revealed differences in the amount of SAβ-gal+ tumor cells between breast cancer subtypes. The highest percentages of SAβ-gal+ tumor cells were found in HER2-positive and luminal A breast carcinomas whereas triple negative tumors showed either little or no positivity.

  19. Detection of weapons of mass destruction

    Science.gov (United States)

    Bjorkholm, Paul J.

    2003-07-01

    High Energy X-ray cargo screening is a mature technology that has proven its value in the detection of contraband material hidden within cargo including fully loaded sea containers. To date high energy screening has been largely applied to manifest verification and to drug detection. However, the dramatic change in world terrorism has altered the application. Now it is essential that weapons of mass destruction (WMD"s) be interdicted with incredibly high accuracy. The implication of a missed detection has gone from loss of revenue or the lowering of the street price of drugs to potentially stopping, at least for some significant time, most world commerce. Screening containers with high energy x-rays (~250+ mm of steel penetration) is capable of detecting all nuclear threats at a fraction of the strategically important mass. The screening operation can be automated so that no human decisions are required with very low false alarms. Finally, the goal of 100% inspection of cargo inbound to the United States from the twenty largest international ports is an achievable goal with hardware costs in the area of that already spent on airport security.

  20. [Variations in the diagnostic confirmation process between breast cancer mass screening units].

    Science.gov (United States)

    Natal, Carmen; Fernández-Somoano, Ana; Torá-Rocamora, Isabel; Tardón, Adonina; Castells, Xavier

    2016-01-01

    To analyse variations in the diagnostic confirmation process between screening units, variations in the outcome of each episode and the relationship between the use of the different diagnostic confirmation tests and the lesion detection rate. Observational study of variability of the standardised use of diagnostic and lesion detection tests in 34 breast cancer mass screening units participating in early-detection programmes in three Spanish regions from 2002-2011. The diagnostic test variation ratio in percentiles 25-75 ranged from 1.68 (further appointments) to 3.39 (fine-needle aspiration). The variation ratio in detection rates of benign lesions, ductal carcinoma in situ and invasive cancer were 2.79, 1.99 and 1.36, respectively. A positive relationship between rates of testing and detection rates was found with fine-needle aspiration-benign lesions (R(2): 0.53), fine-needle aspiration-invasive carcinoma (R(2): 0 28), core biopsy-benign lesions (R(2): 0.64), core biopsy-ductal carcinoma in situ (R(2): 0.61) and core biopsy-invasive carcinoma (R(2): 0.48). Variation in the use of invasive tests between the breast cancer screening units participating in early-detection programmes was found to be significantly higher than variations in lesion detection. Units which conducted more fine-needle aspiration tests had higher benign lesion detection rates, while units that conducted more core biopsies detected more benign lesions and cancer. Copyright © 2016 SESPAS. Published by Elsevier Espana. All rights reserved.

  1. Design of Microwave Camera for Breast Cancer Detection

    DEFF Research Database (Denmark)

    Zhurbenko, Vitaliy

    2008-01-01

    of the imaging instrument. The active frequency domain method allows for a wide dynamic range, which is important for image quality. It is based on the measurement of the complex transmission coefficient in several directions through the imaging domain containing the object to be imaged (the breast). This data...... superheterodyne architecture, enabling parallel coherent measurements. In this way, mechanical scanning, which is commonly used in measurements of an electromagnetic field distribution, is avoided. The system presented is the first reported 3D microwave breast imaging camera with parallel signal detection...

  2. A New Immunologic Method for Detection of Occult Breast Cancer

    Science.gov (United States)

    1999-09-01

    215, 1988. 29 P.I., Rishab K. Gupta, Ph.D. 38. Repetto L, Onetto M, Gardin G, Costanzi B, Guidici S, Vitiello E, Merlini L, Naso C, Zannini C...Serum CA15-3 assay in the diagnosis and follow-up of breast cancer. BrJ Cancer 58: 213-215, 1988. 40. Repetto L, Onetto M, Gardin G, Costanzi B... REPETTO L, ONETTO M, GARDIN G, et al: Serum CEA, CA15-3, and MCA in breast cancer patients: A clinical evaluation. Cancer Detection & Prevention 17:411

  3. Breast mass segmentation in digital mammography based on pulse coupled neural network and level set method

    Science.gov (United States)

    Xie, Weiying; Ma, Yide; Li, Yunsong

    2015-05-01

    A novel approach to mammographic image segmentation, termed as PCNN-based level set algorithm, is presented in this paper. Just as its name implies, a method based on pulse coupled neural network (PCNN) in conjunction with the variational level set method for medical image segmentation. To date, little work has been done on detecting the initial zero level set contours based on PCNN algorithm for latterly level set evolution. When all the pixels of the input image are fired by PCNN, the small pixel value will be a much more refined segmentation. In mammographic image, the breast tumor presents big pixel value. Additionally, the mammographic image with predominantly dark region, so that we firstly obtain the negative of mammographic image with predominantly dark region except the breast tumor before all the pixels of an input image are fired by PCNN. Therefore, in here, PCNN algorithm is employed to achieve mammary-specific, initial mass contour detection. After that, the initial contours are all extracted. We define the extracted contours as the initial zero level set contours for automatic mass segmentation by variational level set in mammographic image analysis. What's more, a new proposed algorithm improves external energy of variational level set method in terms of mammographic images in low contrast. In accordance with the gray scale of mass region in mammographic image is higher than the region surrounded, so the Laplace operator is used to modify external energy, which could make the bright spot becoming much brighter than the surrounded pixels in the image. A preliminary evaluation of the proposed method performs on a known public database namely MIAS, rather than synthetic images. The experimental results demonstrate that our proposed approach can potentially obtain better masses detection results in terms of sensitivity and specificity. Ultimately, this algorithm could lead to increase both sensitivity and specificity of the physicians' interpretation of

  4. Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms

    Science.gov (United States)

    Tan, Maxine; Aghaei, Faranak; Hollingsworth, Alan B.; Stough, Rebecca G.; Liu, Hong; Zheng, Bin

    2016-03-01

    Although breast MRI is the most sensitive imaging modality to detect early breast cancer, its cancer detection yield in breast cancer screening is quite low (women) to date. The purpose of this preliminary study is to test the potential of developing and applying a new computer-aided detection (CAD) scheme of digital mammograms to identify women at high risk of harboring mammography-occult breast cancers, which can be detected by breast MRI. For this purpose, we retrospectively assembled a dataset involving 30 women who had both mammography and breast MRI screening examinations. All mammograms were interpreted as negative, while 5 cancers were detected using breast MRI. We developed a CAD scheme of mammograms, which include a new quantitative mammographic image feature analysis based risk model, to stratify women into two groups with high and low risk of harboring mammography-occult cancer. Among 30 women, 9 were classified into the high risk group by CAD scheme, which included all 5 women who had cancer detected by breast MRI. All 21 low risk women remained negative on the breast MRI examinations. The cancer detection yield of breast MRI applying to this dataset substantially increased from 16.7% (5/30) to 55.6% (5/9), while eliminating 84% (21/25) unnecessary breast MRI screenings. The study demonstrated the potential of applying a new CAD scheme to significantly increase cancer detection yield of breast MRI, while simultaneously reducing the number of negative MRIs in breast cancer screening.

  5. The Diagnostic Value of Superb Microvascular Imaging (SMI) in Detecting Blood Flow Signals of Breast Lesions

    Science.gov (United States)

    Ma, Yan; Li, Gang; Li, Jing; Ren, Wei-dong

    2015-01-01

    Abstract The correlation between color Doppler flow imaging (CDFI) and Superb Microvascular Imaging (SMI) for detecting blood flow in breast lesions was investigated, as was the diagnostic value of SMI in differentiating benign from malignant breast lesions. These lesions were evaluated using both CDFI and SMI according to Adler's method. Pathologic examination showed 57 malignant lesions and 66 benign lesions. The number of blood vessels in a single mass was detected by 2 techniques (SMI and CDFI), and the difference between the 2 values (SMI-CDFI) was calculated. The optimal threshold for the diagnosis of malignant neoplasms and the diagnostic performances of SMI, CDFI, and SMI-CDFI were calculated. For the total lesions and malignant lesions alone, the difference between SMI and CDFI for detecting blood flow was significant (P < 0.01), but the difference was not significant for benign lesions (P = 0.15). The area under the receiver operating characteristic curve was 0.73 (95% confidence interval [CI]: 0.64–0.82) for CDFI; 0.81 (95% CI: 0.74–0.89) for SMI; and 0.89 (95% CI: 0.82–0.95) for SMI-CDFI. Furthermore, the modality of “SMI-CDFI” showed the best diagnostic performance. SMI provides further microvessel information in breast lesions. The diagnostic modality of “SMI-CDFI” can improve the diagnostic performance of ultrasound in the differentiation between benign and malignant masses. PMID:26356718

  6. Using Tc-99m MIBI scintimammography to differentiate nodular lesions in breast and detect axillary lymph node metastases from breast cancer

    Institute of Scientific and Technical Information of China (English)

    王景; 吴华; 周健; 胡健

    2003-01-01

    Objective To test the clinical value of using Tc-99m MIBI scintimammography (Tc-99m MIBI SMM) to differentiate nodular lesions in breasts and detect axillary lymph node metastases of breast cancer. Methods The subjects consisted of sixty female patients exhibiting unilateral palpable breast mass. The early and delay static acquisitions were undertaken in all subjects at 10 and 90 min after injection with Tc-99m MIBI. The acquisition included three positions: anterior supine, left lateral prone and right lateral prone. A special device for SMM which was developed by our laboratory was used. The ratio of [(T-B)/(NT-B)] was calculated as radioactivity of mass to that of opposite corresponding tissue, and [(T-B)/(NT-B)]≥1.21 was used as the cut-off for semi-quantitative discrimination of malignancy from benignity in semi-quantitative analysis. The final diagnosis was obtained from histology examination in all subjects. Results Using Tc-99m MIBI SMM to differentiate between nodular lesions in breasts, the diagnostic sensitivity and specificity were 92.9% and 90.6% respectively, the positive predictive value 89.7%, the negative predictive value 93.5%, and the accuracy 91.7%. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy obtained with Tc-99m MIBI SMM for detecting axillary lymph node metastases were 83.3%, 86.1%, 80%, 88.6% and 85% respectively. Conclusions It is suggested that Tc-99m MIBI SMM may be not only valuable in differentiating malignant lesions from benign nodular masses of breast, but also helpful in detecting axillary lymph node metastases of breast cancer.

  7. Automatic landmarks detection in breast reconstruction aesthetic assessment.

    Science.gov (United States)

    Núñez-Benjumea, Francisco J; Serrano, Carmen; Acha, Begoña

    2015-01-01

    This paper addresses a fully automatic landmarks detection method for breast reconstruction aesthetic assessment. The set of landmarks detected are the supraesternal notch (SSN), armpits, nipples, and inframammary fold (IMF). These landmarks are commonly used in order to perform anthropometric measurements for aesthetic assessment. The methodological approach is based on both illumination and morphological analysis. The proposed method has been tested with 21 images. A good overall performance is observed, although several improvements must be achieved in order to refine the detection of nipples and SSNs.

  8. Pattern of follow-up care and early relapse detection in breast cancer patients

    NARCIS (Netherlands)

    Geurts, S.M.E.; Vegt, de F.; Siesling, S.; Flobbe, K.; Aben, K.K.H.; Heiden-van der Loo, van der M.; Verbeek, A.L.M.; Dijck, van J.A.A.M.; Tjan-Heijnen, V.C.G.

    2012-01-01

    Routine breast cancer follow-up aims at detecting second primary breast cancers and loco regional recurrences preclinically. We studied breast cancer follow-up practice and mode of relapse detection during the first 5 years of follow-up to determine the efficiency of the follow-up schedule. The Neth

  9. Fine-needle aspiration detects primary neuroendocrine carcinoma of the breast in a patient with breast implants

    Directory of Open Access Journals (Sweden)

    Janet I Malowany

    2015-01-01

    Full Text Available Breast augmentation with implantation represents a challenge for subsequent radiographic imaging and pathological sampling. Fine-needle aspiration biopsy (FNAB is an excellent technique to sample suspicious lesions that are adjacent to fragile implants. We report a case of a 51-year-old woman with breast implants presenting with an initial diagnosis of fibroadenoma by imaging studies. A definite diagnosis of mammary carcinoma with plasmacytoid cells was made on ultrasound (US-guided FNAB of the breast mass with rapid on-site evaluation which initiated core needle biopsy of the mass and subsequent mastectomy with sentinel lymph node biopsy. Our case exemplifies the role of US-guided FNAB for the initial investigation of breast masses in patients with implants. In addition, the case illustrates the cytomorphological features of the tumor cells in primary neuroendocrine carcinoma of the breast.

  10. Molecule-Specific Imaging Analysis of Carcinogens in Breast Cancer Cells Using Time-of-Flight Secondary Ion Mass Spectrometry

    Energy Technology Data Exchange (ETDEWEB)

    Quong, J N; Knize, M G; Kulp, K S; Wu, K J

    2003-08-19

    Imaging time-of-flight secondary ion mass spectrometry (TOF-SIMS) is used to study the localization of heterocyclic amines in MCF7 line of human breast cancer cells. The detection sensitivities of a model rodent mutagen, 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) were determined. Following an established criteria for the determination of status of freeze-fracture cells, the distribution of PhIP in the MCF7 cells are reported.

  11. Detection of Volatile Metabolites of Garlic in Human Breast Milk.

    Science.gov (United States)

    Scheffler, Laura; Sauermann, Yvonne; Zeh, Gina; Hauf, Katharina; Heinlein, Anja; Sharapa, Constanze; Buettner, Andrea

    2016-06-06

    The odor of human breast milk after ingestion of raw garlic at food-relevant concentrations by breastfeeding mothers was investigated for the first time chemo-analytically using gas chromatography-mass spectrometry/olfactometry (GC-MS/O), as well as sensorially using a trained human sensory panel. Sensory evaluation revealed a clear garlic/cabbage-like odor that appeared in breast milk about 2.5 h after consumption of garlic. GC-MS/O analyses confirmed the occurrence of garlic-derived metabolites in breast milk, namely allyl methyl sulfide (AMS), allyl methyl sulfoxide (AMSO) and allyl methyl sulfone (AMSO₂). Of these, only AMS had a garlic-like odor whereas the other two metabolites were odorless. This demonstrates that the odor change in human milk is not related to a direct transfer of garlic odorants, as is currently believed, but rather derives from a single metabolite. The formation of these metabolites is not fully understood, but AMSO and AMSO₂ are most likely formed by the oxidation of AMS in the human body. The excretion rates of these metabolites into breast milk were strongly time-dependent with large inter-individual differences.

  12. Detection of Volatile Metabolites of Garlic in Human Breast Milk

    Directory of Open Access Journals (Sweden)

    Laura Scheffler

    2016-06-01

    Full Text Available The odor of human breast milk after ingestion of raw garlic at food-relevant concentrations by breastfeeding mothers was investigated for the first time chemo-analytically using gas chromatography−mass spectrometry/olfactometry (GC-MS/O, as well as sensorially using a trained human sensory panel. Sensory evaluation revealed a clear garlic/cabbage-like odor that appeared in breast milk about 2.5 h after consumption of garlic. GC-MS/O analyses confirmed the occurrence of garlic-derived metabolites in breast milk, namely allyl methyl sulfide (AMS, allyl methyl sulfoxide (AMSO and allyl methyl sulfone (AMSO2. Of these, only AMS had a garlic-like odor whereas the other two metabolites were odorless. This demonstrates that the odor change in human milk is not related to a direct transfer of garlic odorants, as is currently believed, but rather derives from a single metabolite. The formation of these metabolites is not fully understood, but AMSO and AMSO2 are most likely formed by the oxidation of AMS in the human body. The excretion rates of these metabolites into breast milk were strongly time-dependent with large inter-individual differences.

  13. Breast cancer genetic risk profile is differentially associated with interval and screen-detected breast cancers.

    Science.gov (United States)

    Li, J; Holm, J; Bergh, J; Eriksson, M; Darabi, H; Lindström, L S; Törnberg, S; Hall, P; Czene, K

    2015-03-01

    Polygenic risk profiles computed from multiple common susceptibility alleles for breast cancer have been shown to identify women at different levels of breast cancer risk. We evaluated whether this genetic risk stratification can also be applied to discriminate between screen-detected and interval cancers, which are usually associated with clinicopathological and survival differences. A 77 single-nucleotide polymorphism polygenic risk score (PRS) was constructed for breast cancer overall and by estrogen receptor (ER) status. PRS was inspected as a continuous (per standard deviation increment) variable in a case-only design. Modification of the PRS by mammographic density was evaluated by fitting an additional interaction term. PRS weighted by breast cancer overall estimates was found to be differentially associated with 1865 screen-detected and 782 interval cancers in the LIBRO-1 study {age-adjusted odds ratio (OR)perSD [95% confidence interval (CI)] 0.91 [0.83-0.99], P = 0.023}. The association was found to be more significant for PRS weighted by ER-positive breast cancer estimates [ORperSD = 0.90 (0.82-0.98), P = 0.011]. This result was corroborated by two independent studies [combined ORperSD = 0.87 (0.76-1.00), P = 0.058] with no evidence of heterogeneity. When enriched for 'true' interval cancers among nondense breasts, the difference in the association with PRS in screen-detected and interval cancers became more pronounced [ORperSD = 0.74 (0.62-0.89), P = 0.001], with a significant interaction effect between PRS and mammographic density (Pinteraction = 0.017). To our knowledge, this is the first report looking into the genetic differences between screen-detected and interval cancers. It is an affirmation that the two types of breast cancer may have unique underlying biology. © The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  14. A sensitive and efficient method for determination of N-acetylhexosamines and N-acetylneuraminic acid in breast milk and milk-based products by high-performance liquid chromatography via UV detection and mass spectrometry identification.

    Science.gov (United States)

    Chuanxiang, Wu; Lian, Xia; Lijie, Liu; Fengli, Qu; Zhiwei, Sun; Xianen, Zhao; Jinmao, You

    2016-02-01

    A sensitive and efficient method of high performance liquid chromatography using 1-(2-naphthyl)-3-methyl-5-pyrazolone (NMP) as pre-column derivatization reagent coupled with UV detection (HPLC-UV) and online mass spectrometry identification was established for determination of the most common N-Acetylhexosamines (N-acetyl-d-glucosamine (GlcNAc) and N-acetyl-d-galactosamine (GalNAc)) and N-acetylneuraminic acid (Neu5Ac). In order to obtain the highest liberation level of the three monosaccharides without destruction of Neu5Ac or conversion of GlcNAc/GalNAc to GlcN/GalN in the hydrolysis procedure, the pivotal parameters affecting the liberation of N-acetylhexosamines/Neu5Ac from sample were investigated with response surface methodology (RSM). Under the optimized condition, maximum yield was obtained. The effects of key parameters on derivatization, separation and detection were also investigated. At optimized conditions, three monosaccharides were labeled fast and entirely, and all derivatives exhibited a good baseline resolution and high detection sensitivity. The developed method was linear over the calibration range 0.25-12μM, with R(2)>0.9991. The detection limits of the method were between 0.48 and 2.01pmol. Intra- and inter-day precisions for the three monosaccharides (GlcNAc, GalNAc and Neu5Ac) were found to be in the range of 3.07-4.02% and 3.69-4.67%, respectively. Individual monosaccharide recovery from spiked milk was in the range of 81%-97%. The sensitivity of the method, the facility of the derivatization procedure and the reliability of the hydrolysis conditions suggest the proposed method has a high potential for utilization in routine trace N-acetylhexosamines and Neu5Ac analysis in biological samples.

  15. Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer

    NARCIS (Netherlands)

    Giger, M.L.; Karssemeijer, N.; Schnabel, J.A.

    2013-01-01

    The role of breast image analysis in radiologists' interpretation tasks in cancer risk assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis methods include segmentation, feature extraction techniques, classifier design, biomechanical modeling, image registration

  16. 75 FR 7282 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

    Science.gov (United States)

    2010-02-18

    ... HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... cervical cancer. The committee makes recommendations regarding national program goals and objectives... Force guidelines for breast and cervical cancer screening; Impact of the revised clinical...

  17. Awareness of Breast Density and Its Impact on Breast Cancer Detection and Risk

    Science.gov (United States)

    Rhodes, Deborah J.; Radecki Breitkopf, Carmen; Ziegenfuss, Jeanette Y.; Jenkins, Sarah M.; Vachon, Celine M.

    2015-01-01

    Purpose Legislation mandating disclosure of breast density (BD) information has passed in 21 states; however, actual awareness of BD and knowledge of its impact on breast cancer detection and risk are unknown. Methods We conducted a national cross-sectional survey administered in English and Spanish using a probability-based sample of screening-age women, with oversampling of Connecticut, the only state with BD legislation in effect for > 1 year before the survey. Results Of 2,311 women surveyed, 65% responded. Overall, 58% of women had heard of BD, 49% knew that BD affects breast cancer detection, and 53% knew that BD affects cancer risk. After multivariable adjustment, increased BD awareness was associated with white non-Hispanic race/ethnicity (Hispanic v white non-Hispanic: odds ratio [OR], 0.23; P < .001), household income (OR, 1.07 per category increase; P < .001), education (OR, 1.19 per category increase; P < .001), diagnostic evaluation after a mammogram (OR, 2.64; P < .001), and postmenopausal hormone therapy (OR, 1.69; P = .002). Knowledge of the masking effect of BD was associated with higher household income (OR, 1.10; P < .001), education (OR, 1.22; P = .01), prior breast biopsy (OR, 2.16; P < .001), and residing in Connecticut (Connecticut v other states: OR, 3.82; P = .003). Connecticut residents were also more likely to have discussed their BD with a health care provider (67% v 43% for residents of other US states; P = .001). Conclusion Disparities in BD awareness and knowledge exist by race/ethnicity, education, and income. BD legislation seems to be effective in increasing knowledge of BD impact on breast cancer detection. These findings support continued and targeted efforts to improve BD awareness and knowledge among women eligible for screening mammography. PMID:25732156

  18. Occult Invasive Lobular Carcinoma of Breast Detected by Stomach Metastasis: A Case Report

    Energy Technology Data Exchange (ETDEWEB)

    KIm, So Jung; Jung, Hae Kyoung; Ko, Kyung Hee; Yoon, Jung Hyun [Dept. of Radiology, Bundang CHA general Hospital, CHA University College of Medicine, Seongnam (Korea, Republic of)

    2012-02-15

    Gastric metastasis from primary breast cancer is a rare phenomenon that is more prevalent in the invasive lobular type of breast cancer. We describe a very rare case of occult invasive lobular cancer of the breast detected by the initial presentation of gastric metastasis in a patient without a history of breast cancer. A 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (FDG PET/CT) which showed increased FDG uptake in the stomach, abdominal mesentery and the right breast, and played pivotal roles in the detection of occult primary breast cancer and a diagnosis of gastric metastasis as an ancillary method for obtaining histological results and immunohistochemical stains.

  19. A Simple System for the Early Detection of Breast Cancer

    Science.gov (United States)

    2015-07-01

    informatics, immunology , benign cancer , prognostic studies, baseline diagnostics, heatmaps, ROCurves 2 Major Activities 1. Production of IMS arrays...AD______________ AWARD NUMBER: W81XWH-14-1-0231 TITLE: A Simple System for the Early Detection of Breast Cancer PRINCIPAL INVESTIGATOR...0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing

  20. Asymmetry features for classification of thermograms in breast cancer detection

    Science.gov (United States)

    Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz

    2016-09-01

    The computer system for an automatic interpretation of thermographic pictures created by the Br-aster devices uses image processing and machine learning algorithms. The huge set of attributes analyzed by this software includes the asymmetry measurements between corresponding images, and these features are analyzed in presented paper. The system was tested on real data and achieves accuracy comparable to other popular techniques used for breast tumour detection.

  1. Nipple aspirate fluid and ductoscopy to detect breast cancer.

    Science.gov (United States)

    Sauter, Edward R; Klein-Szanto, Andres; Macgibbon, Brenda; Ehya, Hormoz

    2010-04-01

    We prospectively performed cytologic assessment and image analysis (IA) on matched nipple aspirate fluid (NAF) and mammary ductoscopy (MD) specimens to determine (1) the accuracy of these methods in cancer detection and (2) whether the two collection methods provide complementary information.NAF and MD specimens were collected from 84 breasts from 75 women (nine bilateral samples) who underwent breast surgery. Cytologic evaluation was performed on all samples. IA was performed on slides with sufficient epithelial cells.Cytologic evaluation proved more accurate in patients without pathologic spontaneous nipple discharge (PND) than those with PND, mainly because of the potential false positive diagnosis in the latter. While the sensitivity of NAF and MD cytology was low (10% and 14%, respectively), both were 100% specific in cancer detection in the non-PND cohort. Combining NAF and MD cytology information improved sensitivity (24%) without sacrificing specificity. Similar to cytology, IA was more accurate in patients without PND having high specificity (100% for aneuploid IA), but relatively low sensitivity (36%). Combining NAF and MD cytology with aneuploid IA improved the sensitivity (45%) while maintaining high specificity (100%). The best predictive model was positive NAF cytology and/or MD cytology combined with IA aneuploidy, which resulted in 55% sensitivity and 100% specificity in breast cancer detection.Cytologic evaluation and IA of NAF and MD specimens are complementary. The presence of atypical cells arising from an intraductal papilloma in ductoscopic specimens is a potential source of false positive diagnosis in patients with nipple discharge.

  2. Simulation of holographic radar application in detection of breast tumors

    Science.gov (United States)

    Alborova, I. L.; Anishchenko, Lesya

    2014-05-01

    This paper presents the results of experiments and mathematical simulation carried out to confirm the possibility of using holographic radar for the detection of breast tumors. In the work the software designed for the numerical solution of electromagnetic problems using the Finite-Difference Time-Domain Method. The simulation was performed with the three probe frequencies 4, 7 and 15 GHz. The model is a parallelepiped with dimensions 200×200×100 mm - mimicking the normal tissue of the breast, with the inclusion of a sphere - malignant neoplasm of breast tissue, the radius and depth of which have been varied. Frequency dispersion of normal and malignant tissues dielectric properties (conductivity and permittivity) was taken into account. It was shown both by theoretical and experimental results that it is preferable to use lower-frequency probing signal, namely, 4GHz, which can detect the inclusion of 5 mm diameter up to a depth of 10 mm. While using of probing signals of 7 and 15 GHz the depth limit of detection inclusion is not more than 5 mm, which is caused by the high attenuation in a medium. However, their usage is preferred because of higher resolution.

  3. PVAL breast phantom for dual energy calcification detection

    Science.gov (United States)

    Koukou, V.; Martini, N.; Velissarakos, K.; Gkremos, D.; Fountzoula, C.; Bakas, A.; Michail, C.; Kandarakis, I.; Fountos, G.

    2015-09-01

    Microcalcifications are the main indicator for breast cancer. Dual energy imaging can enhance the detectability of calcifications by suppressing the tissue background. Two digital images are obtained using two different spectra, for the low- and high-energy respectively, and a weighted subtracted image is produced. In this study, a dual energy method for the detection of the minimum breast microcalcification thickness was developed. The used integrated prototype system consisted of a modified tungsten anode X-ray tube combined with a high resolution CMOS sensor. The breast equivalent phantom used was an elastically compressible gel of polyvinyl alcohol (PVAL). Hydroxyapatite was used to simulate microcalcifications with thicknesses ranging from 50 to 500 μm. The custom made phantom was irradiated with 40kVp and 70kVp. Tungsten (W) anode spectra filtered with 100μm Cadmium and 1000pm Copper, for the low- and high-energy, respectively. Microcalcifications with thicknesses 300μm or higher can be detected with mean glandular dose (MGD) of 1.62mGy.

  4. Mass Spectrometric Imaging of Red Fluorescent Protein in Breast Tumor Xenografts

    Science.gov (United States)

    Chughtai, Kamila; Jiang, Lu; Post, Harm; Winnard, Paul T.; Greenwood, Tiffany R.; Raman, Venu; Bhujwalla, Zaver M.; Heeren, Ron M. A.; Glunde, Kristine

    2013-05-01

    Mass spectrometric imaging (MSI) in combination with electrospray mass spectrometry (ESI-MS) is a powerful technique for visualization and identification of a variety of different biomolecules directly from thin tissue sections. As commonly used tools for molecular reporting, fluorescent proteins are molecular reporter tools that have enabled the elucidation of a multitude of biological pathways and processes. To combine these two approaches, we have performed targeted MS analysis and MALDI-MSI visualization of a tandem dimer (td)Tomato red fluorescent protein, which was expressed exclusively in the hypoxic regions of a breast tumor xenograft model. For the first time, a fluorescent protein has been visualized by both optical microscopy and MALDI-MSI. Visualization of tdTomato by MALDI-MSI directly from breast tumor tissue sections will allow us to simultaneously detect and subsequently identify novel molecules present in hypoxic regions of the tumor. MS and MALDI-MSI of fluorescent proteins, as exemplified in our study, is useful for studies in which the advantages of MS and MSI will benefit from the combination with molecular approaches that use fluorescent proteins as reporters.

  5. Redefining the Breast Cancer Exosome Proteome by Tandem Mass Tag Quantitative Proteomics and Multivariate Cluster Analysis.

    Science.gov (United States)

    Clark, David J; Fondrie, William E; Liao, Zhongping; Hanson, Phyllis I; Fulton, Amy; Mao, Li; Yang, Austin J

    2015-10-20

    Exosomes are microvesicles of endocytic origin constitutively released by multiple cell types into the extracellular environment. With evidence that exosomes can be detected in the blood of patients with various malignancies, the development of a platform that uses exosomes as a diagnostic tool has been proposed. However, it has been difficult to truly define the exosome proteome due to the challenge of discerning contaminant proteins that may be identified via mass spectrometry using various exosome enrichment strategies. To better define the exosome proteome in breast cancer, we incorporated a combination of Tandem-Mass-Tag (TMT) quantitative proteomics approach and Support Vector Machine (SVM) cluster analysis of three conditioned media derived fractions corresponding to a 10 000g cellular debris pellet, a 100 000g crude exosome pellet, and an Optiprep enriched exosome pellet. The quantitative analysis identified 2 179 proteins in all three fractions, with known exosomal cargo proteins displaying at least a 2-fold enrichment in the exosome fraction based on the TMT protein ratios. Employing SVM cluster analysis allowed for the classification 251 proteins as "true" exosomal cargo proteins. This study provides a robust and vigorous framework for the future development of using exosomes as a potential multiprotein marker phenotyping tool that could be useful in breast cancer diagnosis and monitoring disease progression.

  6. Detection of Gunshot Residues Using Mass Spectrometry

    Directory of Open Access Journals (Sweden)

    Regina Verena Taudte

    2014-01-01

    Full Text Available In recent years, forensic scientists have become increasingly interested in the detection and interpretation of organic gunshot residues (OGSR due to the increasing use of lead- and heavy metal-free ammunition. This has also been prompted by the identification of gunshot residue- (GSR- like particles in environmental and occupational samples. Various techniques have been investigated for their ability to detect OGSR. Mass spectrometry (MS coupled to a chromatographic system is a powerful tool due to its high selectivity and sensitivity. Further, modern MS instruments can detect and identify a number of explosives and additives which may require different ionization techniques. Finally, MS has been applied to the analysis of both OGSR and inorganic gunshot residue (IGSR, although the “gold standard” for analysis is scanning electron microscopy with energy dispersive X-ray microscopy (SEM-EDX. This review presents an overview of the technical attributes of currently available MS and ionization techniques and their reported applications to GSR analysis.

  7. The unusual ultrasound features of a breast cholesterol granuloma manifesting as an intracystic mass: case report and literature review.

    Science.gov (United States)

    Ahn, Hye Shin; Kim, Sun Mi; Yun, Bo La; Kim, Mi Sun; Jang, Mijung; Park, So Yeon; Kim, Sung-Won; Kang, Eunyoung; Choi, Hye Young

    2013-01-01

    Cholesterol granuloma of the breast is a rare, benign disease. Here, we present the unique ultrasonographic findings of breast cholesterol granuloma manifesting as an intracystic mass. The findings of this case report may help expand existing knowledge regarding differential diagnosis of intracystic breast masses, which are found on ultrasonographic examination.

  8. Image guided versus palpation guided core needle biopsy of palpable breast masses: a prospective study

    Directory of Open Access Journals (Sweden)

    Smriti Hari

    2016-01-01

    Interpretation & conclusions: Our results showed that in palpable breast masses, image guided biopsy was superior to palpation guided biopsy in terms of sensitivity, false negative rate and repeat biopsy rates.

  9. Photonic crystal enhanced fluorescence for early breast cancer biomarker detection.

    Science.gov (United States)

    Cunningham, Brian T; Zangar, Richard C

    2012-08-01

    Photonic crystal surfaces offer a compelling platform for improving the sensitivity of surface-based fluorescent assays used in disease diagnostics. Through the complementary processes of photonic crystal enhanced excitation and enhanced extraction, a periodic dielectric-based nanostructured surface can simultaneously increase the electric field intensity experienced by surface-bound fluorophores and increase the collection efficiency of emitted fluorescent photons. Through the ability to inexpensively fabricate photonic crystal surfaces over substantial surface areas, they are amenable to single-use applications in biological sensing, such as disease biomarker detection in serum. In this review, we will describe the motivation for implementing high-sensitivity, multiplexed biomarker detection in the context of breast cancer diagnosis. We will summarize recent efforts to improve the detection limits of such assays though the use of photonic crystal surfaces. Reduction of detection limits is driven by low autofluorescent substrates for photonic crystal fabrication, and detection instruments that take advantage of their unique features.

  10. Mass detection algorithm based on support vector machine and relevance feedback

    Institute of Scientific and Technical Information of China (English)

    Ying WANG; Xinbo GAO

    2008-01-01

    To improve the detection of mass with appearance that borders on the similarity between mass and density tissues in the breast,an support vector machine classifier based on typical features iS designed to classify the region of interest(ROI).Furthermore,relevance feedback is introduced to improve the performance of support vector machines.A new mass detection scheme based on the support vector machine and the relevance feedback is proposed.Simulation experiments on mammograms illustrate that the novel support vector machine classifier based on typical features can improve the detection performance of the featureless classifier by 5%,while the introduction of relevance feedback can further improve the detection performance to about 90%.

  11. Myiasis secondary to Sermatobia hominis (human botfly) presenting as a long-standing breast mass.

    Science.gov (United States)

    Kahn, D G

    1999-09-01

    A case of a 54-year-old woman who presented with a breast mass is reported. Histologically, a chronic granulomatous inflammatory response was observed. The response was associated with an organism diagnosed as a fly larva, Dermatobia hominis (human botfly). The incidence of myiasis, infestation by fly larvae, presenting as a long-standing breast mass and mimicking a neoplasm is extremely rare, especially in the United States.

  12. Health education for early detection of breast cancer in blind women

    Directory of Open Access Journals (Sweden)

    Inacia Sátiro Xavier de França

    2015-12-01

    Full Text Available Objective: to assess the knowledge of blind women about the risk factors for breast cancer and whether they look for early detection of this cancer. Methods: a quasi-experimental study with 72 blind women distributed in focus groups. Data were collected through interviews. Results: few participants had knowledge about one or more risk factors for breast cancer, but most practiced early detection. Health education was developed using breast kits and demonstration of breast self-examination. It was obtained qualitative improvement of knowledge of the participants about breast cancer, its risk factors and early detection practices. In addition, participants demonstrated breast self-examination confidently. Conclusion: we need to develop in a harder manner educational activities to clarify about breast cancer risk factors and the importance of periodically carrying out breast self-examination, clinical examination and mammography.

  13. The Role of Ultrasound Guided FNAB (Fine Needle Aspiration Biopsy of Nonpalpable Breast Masses

    Directory of Open Access Journals (Sweden)

    M. Haghighi

    2007-05-01

    Full Text Available Background and Objective: Because of the high inci-dence and mortality rate of breast cancers, and high survival rate of patients after detecting masses smaller than 1cm, it is important to do tissue sampling with imaging guidance. Our goal was to determine the role of sonoguided FNAB as a first step to avoid the more invasive and expensive unnecessary core or excisional biopsies. Materials and Methods: This was an observational study. Our cases included the patients referred to our clinic from 1998-2004 to get FNAB for their nonpal-pable breast masses that had been found in imaging and were visible with Ultrasound and classified in cat 3 or 4 BIRads. The number of cases was 500. The in-strument used was ESaote EU4 with 10 MHZ probe. The results of cytological tests were collected and classified into three groups known as: 1-Benign (negative 2-Malignant (positive 3-Indeterminate Our gold standard was excisional biopsy with three years follow up. Results: Sono and mammo guided FNA, core biopsy and needle localization biopsy are three ways to reach nonpalpable breast lesions. According to other studies, the overall accuracy for imaging guided core biopsy is %97 without FP and for FNA is %77 with %5 FP. An inadequate amount of sample is reported in 32% of sonoguided FNAs but in our study, it was not significant. We had normal breast tissue in %2 (n=10 of our cases and they did not develop malig-nancy in three years follow up. The cost of FNA is very low compared with the other two procedures. Also our NPV was %100 and three fourth of our cases had benign pathology (negative for malignancy. Conclusion: According to our results doing FNA as the first step for cat 3 and 4 masses and R/O of malig-nancy in most patients can save money and time. Core biopsy could be reserved only for the other one fourth of patients.

  14. Detection of lobular structures in normal breast tissue.

    Science.gov (United States)

    Apou, Grégory; Schaadt, Nadine S; Naegel, Benoît; Forestier, Germain; Schönmeyer, Ralf; Feuerhake, Friedrich; Wemmert, Cédric; Grote, Anne

    2016-07-01

    Ongoing research into inflammatory conditions raises an increasing need to evaluate immune cells in histological sections in biologically relevant regions of interest (ROIs). Herein, we compare different approaches to automatically detect lobular structures in human normal breast tissue in digitized whole slide images (WSIs). This automation is required to perform objective and consistent quantitative studies on large data sets. In normal breast tissue from nine healthy patients immunohistochemically stained for different markers, we evaluated and compared three different image analysis methods to automatically detect lobular structures in WSIs: (1) a bottom-up approach using the cell-based data for subsequent tissue level classification, (2) a top-down method starting with texture classification at tissue level analysis of cell densities in specific ROIs, and (3) a direct texture classification using deep learning technology. All three methods result in comparable overall quality allowing automated detection of lobular structures with minor advantage in sensitivity (approach 3), specificity (approach 2), or processing time (approach 1). Combining the outputs of the approaches further improved the precision. Different approaches of automated ROI detection are feasible and should be selected according to the individual needs of biomarker research. Additionally, detected ROIs could be used as a basis for quantification of immune infiltration in lobular structures. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Invasive Micropapillary Carcinoma in Breast Presented as Hyperechoic Mass with Coarse Macrocalcifications: A Case Report

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Hee Sun; Seo, Bo Kyung; Song, Sung Eun; Kim, Young Sik [Dept. of Radiology, Korea University Ansan Hospital, Ansan (Korea, Republic of); Cho, Kyu Ran [Dept. of Radiology, Korea University Anam Hospital, Seoul (Korea, Republic of); Woo, Ok Hee [Dept. of Radiology, Korea University Guro Hospital, Seoul (Korea, Republic of)

    2012-06-15

    Invasive micropapillary carcinoma is a rare, clinically aggressive variant of invasive ductal carcinoma. Imaging findings of invasive micropapillary carcinoma are not specific, and associated microcalcifications are frequent. Our case presented with unique radiological features: a mass with coarse macrocalcifications on mammography and breast computed tomography and a hyperechoic mass on breast ultrasound. Macrocalcifications and hyperechogenicity are not usual malignant characteristics. We report here on our experience with a 55-year-old woman who had invasive micropapillary carcinoma in the breast with unique radiological and pathological findings.

  16. Mass spectrometry-based serum proteome pattern analysis in molecular diagnostics of early stage breast cancer

    Directory of Open Access Journals (Sweden)

    Stobiecki Maciej

    2009-07-01

    Full Text Available Abstract Background Mass spectrometric analysis of the blood proteome is an emerging method of clinical proteomics. The approach exploiting multi-protein/peptide sets (fingerprints detected by mass spectrometry that reflect overall features of a specimen's proteome, termed proteome pattern analysis, have been already shown in several studies to have applicability in cancer diagnostics. We aimed to identify serum proteome patterns specific for early stage breast cancer patients using MALDI-ToF mass spectrometry. Methods Blood samples were collected before the start of therapy in a group of 92 patients diagnosed at stages I and II of the disease, and in a group of age-matched healthy controls (104 women. Serum specimens were purified and the low-molecular-weight proteome fraction was examined using MALDI-ToF mass spectrometry after removal of albumin and other high-molecular-weight serum proteins. Protein ions registered in a mass range between 2,000 and 10,000 Da were analyzed using a new bioinformatic tool created in our group, which included modeling spectra as a sum of Gaussian bell-shaped curves. Results We have identified features of serum proteome patterns that were significantly different between blood samples of healthy individuals and early stage breast cancer patients. The classifier built of three spectral components that differentiated controls and cancer patients had 83% sensitivity and 85% specificity. Spectral components (i.e., protein ions that were the most frequent in such classifiers had approximate m/z values of 2303, 2866 and 3579 Da (a biomarker built from these three components showed 88% sensitivity and 78% specificity. Of note, we did not find a significant correlation between features of serum proteome patterns and established prognostic or predictive factors like tumor size, nodal involvement, histopathological grade, estrogen and progesterone receptor expression. In addition, we observed a significantly (p = 0

  17. Lesion detectability in stereoscopically viewed digital breast tomosynthesis projection images: a model observer study with anthropomorphic computational breast phantoms

    Science.gov (United States)

    Reinhold, Jacob; Wen, Gezheng; Lo, Joseph Y.; Markey, Mia K.

    2017-03-01

    Stereoscopic views of 3D breast imaging data may better reveal the 3D structures of breasts, and potentially improve the detection of breast lesions. The imaging geometry of digital breast tomosynthesis (DBT) lends itself naturally to stereo viewing because a stereo pair can be easily formed by two projection images with a reasonable separation angle for perceiving depth. This simulation study attempts to mimic breast lesion detection on stereo viewing of a sequence of stereo pairs of DBT projection images. 3D anthropomorphic computational breast phantoms were scanned by a simulated DBT system, and spherical signals were inserted into different breast regions to imitate the presence of breast lesions. The regions of interest (ROI) had different local anatomical structures and consequently different background statistics. The projection images were combined into a sequence of stereo pairs, and then presented to a stereo matching model observer for determining lesion presence. The signal-to-noise ratio (SNR) was used as the figure of merit in evaluation, and the SNR from the stack of reconstructed slices was considered as the benchmark. We have shown that: 1) incorporating local anatomical backgrounds may improve lesion detectability relative to ignoring location-dependent image characteristics. The SNR was lower for the ROIs with the higher local power-law-noise coefficient β. 2) Lesion detectability may be inferior on stereo viewing of projection images relative to conventional viewing of reconstructed slices, but further studies are needed to confirm this observation.

  18. Comparison of thallium-201 scan and Tc-99m sestamibi scan in the differential diagnosis of breast mass

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Ihn Ho; Won, Kyu Jang; Lee, Hyung Woo; Lee, Soon Jung [College of Medicine, Yonsei Univ., Seoul (Korea, Republic of)

    1999-02-01

    We performed this study to compare Tl-201 and Tc-99m MIBI scans for the differentiation of malignant from benign breast mass. Thirty-eight female patients underwent Tl-201 breast scan and thirty-two of them also underwent Tc-99m MIBI scan of the breast. After intravenous injection of 74-111 MBq of Tl-201, early (10 minutes) and delayed (3 hours) images were obtained. Then, 555-740 MBq of Tc-99m MIBI was injected and images after 30 minutes were obtained. We compared Tl-201 and Tc-99m MIBI scans with pathologic results. Twenty-three patients were confirmed to have infiltrating duct carcinoma and fifteen patients to have benign breast mass by excisonal biopsy. The sensitivity of early and delayed Tl-201 scan and Tc-99m MIBI scan in the detection of malignant breast lesion were 100% (23/23), 82% (18/22), and 90% (18/20), respectively. The sensitivity of early Tl-201 scan was significantly higher than that of delayed Tl-201 scan, (p<0.05). The specificity of early and delayed Tl-201 scan and Tc-99m MIBI scan were 73% (11/15), 73% (11/15) and 83% (10/12), respectively (p: not significant). Three patients out of nine with fibroadenoma and one patient with atypical duct hyperplasia were false positive in both early and delayed Tl-201 scans. The size of fibroadenoma with false positive in early and delayed Tl-201 scan (4 cases) was larger than that of 11 fibroadenoma with true negative scan (p<0.01). Metastatic axillary lymph node involvement was present in fifteen patients. The sensitivity to detect metastatic nodes was 38% (5/13) for early Tl-201 images, 15% (2/13) for delayed Tl-201 images, 58% (7/12) for Tc-99m MIBI planar images and 67% (4/6) for Tc-99m MIBI SPECT. The sensitivity of Tc-99m MIBI planar or SPECT was significantly higher than that of delayed Tl-201 images (p<0.05). Early Tl-201 and Tc-99m MIBI scan are useful noninvasive methods to differentiate malignant from benign mass of breast. Tc-99m MIBI scan was sensitive in detecting axillary lymph node

  19. Studies of breast masses in Korean woman using tungsten anode mammography

    Energy Technology Data Exchange (ETDEWEB)

    Suh, C. O.; Oh, K. K.; Lee, K. S. [Yonsei University College of Medicine, Seoul (Korea, Republic of)

    1979-06-15

    Mammography is the oldest and most popular method in the diagnosis of breast disease and received the special attention as the powerful instrument in early detection of breast cancer. In Korea, the mammography has not been widely used, yet, but nowadays, increasing incidence of breast cancer and good prognosis after early detection and proper treatment need the clinical application of mammography for management of patient with breast disease and for the detection of occult cancer. The technique obtaining the good quality film is essential for improving the diagnostic accuracy of mammography in breast disease and in general, excellent film radiographs of breast can be obtained with proper combination of Kvp, processing, selection of fine grained film, fine focus tube and compression. In present study, radiographic technique was used in which 36-40 Kvp and 200 mAs were derived from a small focus Tungsten Anode tube. Medio-lateral and Cranio-caudad view were taken using Acryl compression device, which was specially designed by authors in order to properly examine the small, dense breasts of Korean women. Non-screen fine grained mammographic films was used and processing was manual.The materials consisted of 150 cases of mammography performed at Yonsei University Medical College, Severance Hospital, since January, 1978. We analyzed the diagnostic accuracy of mammography and mammographic findings in pathologically confirmed 39 cases. The conclusions are as follows: 1. Because women are sensitive to her breast changes, mammography is very useful not only in diagnosis of breast disease and early detection of cancer, but also management of patients with breast symptom and sign. 2. We obtained the relatively good quality film and high diagnostic accuracy with our own method, using conventional Tungsten Anode tube, compression device and hand processing. 3. We also applied specimen radiography in diagnosis of breast disease, which was helpful in verification of the adequacy

  20. Evaluation of kinetic entropy of breast masses initially found on MRI using whole-lesion curve distribution data: Comparison with the standard kinetic analysis

    Energy Technology Data Exchange (ETDEWEB)

    Shimauchi, Akiko [University of Chicago, Department of Radiology, Chicago, IL (United States); Tohoku University, Department of Diagnostic Radiology, Graduate School of Medicine, Sendai, Miyagi (Japan); Abe, Hiroyuki; Schacht, David V.; Yulei, Jian; Pineda, Federico D.; Jansen, Sanaz A.; Ganesh, Rajiv; Newstead, Gillian M. [University of Chicago, Department of Radiology, Chicago, IL (United States)

    2015-08-15

    To quantify kinetic heterogeneity of breast masses that were initially detected with dynamic contrast-enhanced MRI, using whole-lesion kinetic distribution data obtained from computer-aided evaluation (CAE), and to compare that with standard kinetic curve analysis. Clinical MR images from 2006 to 2011 with breast masses initially detected with MRI were evaluated with CAE. The relative frequencies of six kinetic patterns (medium-persistent, medium-plateau, medium-washout, rapid-persistent, rapid-plateau, rapid-washout) within the entire lesion were used to calculate kinetic entropy (KE), a quantitative measure of enhancement pattern heterogeneity. Initial uptake (IU) and signal enhancement ratio (SER) were obtained from the most-suspicious kinetic curve. Mann-Whitney U test and ROC analysis were conducted for differentiation of malignant and benign masses. Forty benign and 37 malignant masses comprised the case set. IU and SER were not significantly different between malignant and benign masses, whereas KE was significantly greater for malignant than benign masses (p = 0.748, p = 0.083, and p < 0.0001, respectively). Areas under ROC curve for IU, SER, and KE were 0.479, 0.615, and 0.662, respectively. Quantification of kinetic heterogeneity of whole-lesion time-curve data with KE has the potential to improve differentiation of malignant from benign breast masses on breast MRI. (orig.)

  1. 76 FR 30723 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

    Science.gov (United States)

    2011-05-26

    ... HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... cervical cancer. The committee makes recommendations regarding national program goals and objectives... for breast and cervical cancer screening; updates on the National Breast and Cervical Cancer Early...

  2. Contour Detection-Based Realistic Finite-Difference-Time- Domain Models for Microwave Breast Cancer Detection

    Institute of Scientific and Technical Information of China (English)

    王梁; 肖夏; 宋航; 路红; 刘佩芳

    2016-01-01

    In this paper, a collection of three-dimensional(3D)numerical breast models are developed based on clinical magnetic resonance images(MRIs). A hybrid contour detection method is used to create the contour, and the internal space is filled with different breast tissues, with each corresponding to a specified interval of MRI pixel intensity. The developed models anatomically describe the complex tissue structure and dielectric properties in breasts. Besides, they are compatible with finite-difference-time-domain(FDTD)grid cells. Convolutional perfect matched layer(CPML)is applied in conjunction with FDTD to simulate the open boundary outside the model. In the test phase, microwave breast cancer detection simulations are performed in four models with varying radio-graphic densities. Then, confocal algorithm is utilized to reconstruct the tumor images. Imaging results show that the tumor voxels can be recognized in every case, with 2 mm location error in two low density cases and 7 mm─8 mm location errors in two high density cases, demonstrating that the MRI-derived models can characterize the indi-vidual difference between patients’ breasts.

  3. Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Seung Ja (Dept. of Radiology, Seoul Metropolitan Government - Seoul National Univ. Boramae Medical Center, Seoul (Korea, Republic of)); Moon, Woo Kyung; Cho, Nariya; Chang, Jung Min (Dept. of Radiology, Seoul National Univ. Hospital, Seoul (Korea, Republic of)), email: moonwk@snu.ac.kr

    2012-05-15

    Background: The computer-aided detection (CAD) system is widely used for screening mammography. The performance of the CAD system for contralateral breast cancer has not been reported for women with a history of breast cancer. Purpose: To retrospectively evaluate the performance of a CAD system on current and previous mammograms in patients with contralateral metachronous breast cancer. Material and Methods: During a 3-year period, 4945 postoperative patients had follow-up examinations, from whom we selected 55 women with contralateral breast cancers. Among them, 38 had visible malignant signs on the current mammograms. We analyzed the sensitivity and false-positive marks of the system on the current and previous mammograms according to lesion type and breast density. Results: The total visible lesion components on the current mammograms included 27 masses and 14 calcifications in 38 patients. The case-based sensitivity for all lesion types was 63.2% (24/38) with false-positive marks of 0.71 per patient. The lesion-based sensitivity for masses and calcifications was 59.3% (16/27) and 71.4% (10/14), respectively. The lesion-based sensitivity for masses in fatty and dense breasts was 68.8% (11/16) and 45.5% (5/11), respectively. The lesion-based sensitivity for calcifications in fatty and dense breasts was 100.0% (3/3) and 63.6% (7/11), respectively. The total visible lesion components on the previous mammograms included 13 masses and three calcifications in 16 patients, and the sensitivity for all lesion types was 31.3% (5/16) with false-positive marks of 0.81 per patient. On these mammograms, the sensitivity for masses and calcifications was 30.8% (4/13) and 33.3% (1/3), respectively. The sensitivity in fatty and dense breasts was 28.6% (2/7) and 33.3% (3/9), respectively. Conclusion: In the women with a history of breast cancer, the sensitivity of the CAD system in visible contralateral breast cancer was lower than in most previous reports using the same CAD

  4. The Clinical Application of Raman Spectroscopy for Breast Cancer Detection

    Directory of Open Access Journals (Sweden)

    Pin Gao

    2017-01-01

    Full Text Available Raman spectroscopy has been widely used as an important clinical tool for real-time in vivo cancer diagnosis. Raman information can be obtained from whole organisms and tissues, at the cellular level and at the biomolecular level. The aim of this paper is to review the newest developments of Raman spectroscopy in the field of breast cancer diagnosis and treatment. Raman spectroscopy can distinguish malignant tissues from noncancerous/normal tissues and can assess tumor margins or sentinel lymph nodes during an operation. At the cellular level, Raman spectra can be used to monitor the intracellular processes occurring in blood circulation. At the biomolecular level, surface-enhanced Raman spectroscopy techniques may help detect the biomarker on the tumor surface as well as evaluate the efficacy of anticancer drugs. Furthermore, Raman images reveal an inhomogeneous distribution of different compounds, especially proteins, lipids, microcalcifications, and their metabolic products, in cancerous breast tissues. Information about these compounds may further our understanding of the mechanisms of breast cancer.

  5. An Optoelectromechanical Tactile Sensor for Detection of Breast Lumps

    OpenAIRE

    Başdoğan, Çağatay; Ayyıldız, Mehmet; Yıldız, Mustafa Zahid; Güçlü, Burak

    2013-01-01

    We developed a compact tactile imaging (TI) system to guide the clinician or the self-user for noninvasive detection of breast tumors. Our system measures the force distribution based on the difference in stiffness between a palpated object and an abnormality within. The average force resolution, force range, and the spatial resolution of the device are 0.02 N, 0-4 N, and 2.8 mm, respectively. To evaluate the performance of the proposed TI system, compression experiments were performed to mea...

  6. The Role of Ultrasographic Elastography in the Differential Diagnosis of Breast Masses and Its Contribution to Classical Ultrasonographic Evaluation

    Science.gov (United States)

    Yaðtu, Mehmet; Turan, Eren; Turan, Çiðdem Öztürk

    2014-01-01

    Objective The aim of this study was to understand the role of ultrasonographic elastography method in the differentiation of breast masses and to assess its contribution to classic ultrasonographic evaluation. Materials and Methods In this retrospective study, 76 breast masses in 76 patients were firstly evaluated by conventional ultrasonography (U.S.) and scored according to breast imaging report and data systems (BIRADS) and then evaluated with the Elastographic method during the same session between January and December 2013 in our hospital’s Radiology Department. Findings were compared with pathological results. In statistical evaluation of the data, independent sample t tests were used for variables between groups. Results The mean strain ratio of benign masses was 2.48±1.605 and strain score was 2.307±1.327. The mean strain ratio of malignant masses was 5.546±1.434 and strain score was 4.458±0.721. The most frequent benign masses were fibroadenoma and fibrocystic lesions. The most common malignant lesion was invasive ductal carcinoma. When the cut-off value for strain ratio was accepted as 4.009 in receiver operating curve (ROC) analysis for the differential diagnosis of malignant breast masses, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated as 83.8%, 76.9%, 62.3%, and 90.7%, respectively. When the limit value of strain patterns was accepted as scores 4 and 5, the sensitivity, specificity, PPV, and NPV were calculated as 42.7%, 94.2%, 77.2%, and 78%, respectively. When conventional ultrasonography (U.S.) findings were considered together with the elastographic strain ratios the sensitivity, specificity, PPV and NPV were 87.5%, 71.1%, 58.3% and 92.5%, respectively. Conclusion Elastography is not a method that can replace conventional breast ultrasound for detecting breast cancer, however it may be an adjunct to conventional ultrasound by increasing its diagnostic power. PMID:28331660

  7. Early breast cancer detection with digital mammograms using Haar-like features and AdaBoost algorithm

    Science.gov (United States)

    Zheng, Yufeng; Yang, Clifford; Merkulov, Alex; Bandari, Malavika

    2016-05-01

    The current computer-aided detection (CAD) methods are not sufficiently accurate in detecting masses, especially in dense breasts and/or small masses (typically at their early stages). A small mass may not be perceived when it is small and/or homogeneous with surrounding tissues. Possible reasons for the limited performance of existing CAD methods are lack of multiscale analysis and unification of variant masses. The speed of CAD analysis is important for field applications. We propose a new CAD model for mass detection, which extracts simple Haar-like features for fast detection, uses AdaBoost approach for feature selection and classifier training, applies cascading classifiers for reduction of false positives, and utilizes multiscale detection for variant sizes of masses. In addition to Haar features, local binary pattern (LBP) and histograms of oriented gradient (HOG) are extracted and applied to mass detection. The performance of a CAD system can be measured with true positive rate (TPR) and false positives per image (FPI). We are collecting our own digital mammograms for the proposed research. The proposed CAD model will be initially demonstrated with mass detection including architecture distortion.

  8. Enhancement of breast calcification visualization and detection using a modified PG method in Cone Beam Breast CT.

    Science.gov (United States)

    Liu, Jiangkun; Ning, Ruola; Cai, Weixing; Benitez, Ricardo Betancourt

    2012-01-01

    Cone Beam Breast CT is a promising diagnostic modality in breast imaging. Its isotropic 3D spatial resolution enhances the characterization of micro-calcifications in breasts that might not be easily distinguishable in mammography. However, due to dose level considerations, it is beneficial to further enhance the visualization of calcifications in Cone Beam Breast CT images that might be masked by noise. In this work, the Papoulis-Gerchberg method was modified and implemented in Cone Beam Breast CT images to improve the visualization and detectability of calcifications. First, the PG method was modified and applied to the projections acquired during the scanning process; its effects on the reconstructed images were analyzed by measuring the Modulation Transfer Function and the Noise Power Spectrum. Second, Cone Beam Breast CT images acquired at different dose levels were pre-processed using this technique to enhance the visualization of calcification. Finally, a computer-aided diagnostic algorithm was utilized to evaluate the efficacy of this method to improve calcification detectability. The results demonstrated that this technique can effectively improve image quality by improving the Modulation Transfer Function with a minor increase in noise level. Consequently, the visualization and detectability of calcifications were improved in Cone Beam Breast CT images. This technique was also proved to be useful in reducing the x-ray dose without degrading visualization and detectability of calcifications.

  9. Body mass index associated with genome-wide methylation in breast tissue.

    Science.gov (United States)

    Hair, Brionna Y; Xu, Zongli; Kirk, Erin L; Harlid, Sophia; Sandhu, Rupninder; Robinson, Whitney R; Wu, Michael C; Olshan, Andrew F; Conway, Kathleen; Taylor, Jack A; Troester, Melissa A

    2015-06-01

    Gene expression studies indicate that body mass index (BMI) is associated with molecular pathways involved in inflammation, insulin-like growth factor activation, and other carcinogenic processes in breast tissue. The goal of this study was to determine whether BMI is associated with gene methylation in breast tissue and to identify pathways that are commonly methylated in association with high BMI. Epigenome-wide methylation profiles were determined using the Illumina HumanMethylation450 BeadChip array in the non-diseased breast tissue of 81 women undergoing breast surgery between 2009 and 2013 at the University of North Carolina Hospitals. Multivariable, robust linear regression was performed to identify methylation sites associated with BMI at a false discovery rate q value breast tissue and may influence epigenetic pathways involved in inflammatory and other carcinogenic processes.

  10. Detection of eight BRCA1 mutations in 10 breast/ovarian cancer families, including 1 family with male breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Sruewing, J.P.; Brody, L.C.; Erdos, M.R. [National Institute of Health, Bethesda, MD (United States)] [and others

    1995-07-01

    Genetic epidemiological evidence suggests that mutations in BRCA1 may be responsible for approximately one half of early onset familial breast cancer and the majority of familial breast/ovarian cancer. The recent cloning of BRCA1 allows for the direct detection of mutations, but the feasibility of presymptomatic screening for cancer susceptibility is unknown. We analyzed genomic DNA from one affected individual from each of 24 families with at least three cases of ovarian or breast cancer, using SSCP assays. Variant SSCP bands were subcloned and sequenced. Allele-specific oligonucleotide hybridization was used to verify sequence changes and to screen DNA from control individuals. Six frameshift and two missense mutations were detected in 10 different families. A frameshift mutation was detected in a male proband affected with both breast and prostate cancer. A 40-bp deletion was detected in a patient who developed intra-abdominal carcinomatosis 1 year after prophylactic oophorectomy. Mutations were detected throughout the gene, and only one was detected in more than a single family. These results provide further evidence that inherited breast and ovarian cancer can occur as a consequence of a wide array of BRCA1 mutations. These results suggests that development of a screening test for BRCA1 mutations will be technically challenging. The finding of a mutation in a family with male breast cancer, not previously thought to be related to BRCA1, also illustrates the potential difficulties of genetic counseling for individuals known to carry mutations. 37 refs., 1 fig., 1 tab.

  11. Ultrasonic Detection of Microscopic Breast Cancer in Cell Cultures

    Science.gov (United States)

    Goodrich, Jeffrey B.; Patel, Hemang; Doyle, Timothy E.; Kwon, Soonjo

    2010-10-01

    A current problem in breast cancer treatment is the detection of microscopic cancer in surgical margins to ensure all of the cancer has been removed. Current methods rely on extensive pathology work that may take several days to complete. Positive findings for cancer in margins require follow-up surgery for up to 50% of lumpectomy patients to remove more tissue. A microscopic detection method for use during surgery would be preferable to reduce the risks, costs, and patient suffering of follow-up operations. Ultrasound is a promising in vivo detection method due to its low cost, portability, and ability to detect malignant tissue changes. Recent experiments have demonstrated the ultrasonic detection of microscopic cancer in cell cultures. Ultrasonic waveforms from pulse echo measurements showed significant differences between normal and malignant cell monolayers. The ultrasound also detected normal and malignant monolayer growth that displayed good correlations with cell counts. These results support the use of ultrasound as a viable method for in vivo detection. Testing of surgical samples at the Huntsman Cancer Institute is now in progress.

  12. An interactive system for computer-aided diagnosis of breast masses.

    Science.gov (United States)

    Wang, Xingwei; Li, Lihua; Liu, Wei; Xu, Weidong; Lederman, Dror; Zheng, Bin

    2012-10-01

    Although mammography is the only clinically accepted imaging modality for screening the general population to detect breast cancer, interpreting mammograms is difficult with lower sensitivity and specificity. To provide radiologists "a visual aid" in interpreting mammograms, we developed and tested an interactive system for computer-aided detection and diagnosis (CAD) of mass-like cancers. Using this system, an observer can view CAD-cued mass regions depicted on one image and then query any suspicious regions (either cued or not cued by CAD). CAD scheme automatically segments the suspicious region or accepts manually defined region and computes a set of image features. Using content-based image retrieval (CBIR) algorithm, CAD searches for a set of reference images depicting "abnormalities" similar to the queried region. Based on image retrieval results and a decision algorithm, a classification score is assigned to the queried region. In this study, a reference database with 1,800 malignant mass regions and 1,800 benign and CAD-generated false-positive regions was used. A modified CBIR algorithm with a new function of stretching the attributes in the multi-dimensional space and decision scheme was optimized using a genetic algorithm. Using a leave-one-out testing method to classify suspicious mass regions, we compared the classification performance using two CBIR algorithms with either equally weighted or optimally stretched attributes. Using the modified CBIR algorithm, the area under receiver operating characteristic curve was significantly increased from 0.865 ± 0.006 to 0.897 ± 0.005 (p interactive CAD system with a large reference database and achieving improved performance.

  13. Earlier Detection of Breast Cancer with Ultrasound Molecular Imaging in a Transgenic Mouse Model

    Science.gov (United States)

    Bachawal, Sunitha V.; Jensen, Kristin C.; Lutz, Amelie M.; Gambhir, Sanjiv S.; Tranquart, Francois; Tian, Lu; Willmann, Jürgen K.

    2013-01-01

    While there is an increasing role of ultrasound for breast cancer screening in patients with dense breast, conventional anatomical-ultrasound lacks sensitivity and specificity for early breast cancer detection. In this study we assessed the potential of molecular-ultrasound imaging, using clinically-translatable vascular endothelial growth factor receptor (VEGFR2)-targeted microbubbles (MBVEGFR2), to improve the diagnostic accuracy of ultrasound in earlier detection of breast cancer and ductal carcinoma in situ (DCIS) in a transgenic mouse model (FVB/N-Tg(MMTV-PyMT)634Mul). In vivo binding specificity studies (n=26 tumors) showed that ultrasound imaging signal was significantly higher (P95% of cases and highly agreed between each other (ICC=0.98; 95% CI, 97, 99). These results suggest that VEGFR2-targeted ultrasound molecular imaging allows highly accurate detection of DCIS and breast cancer in transgenic mice and may be a promising approach for early breast cancer detection in women. PMID:23328585

  14. Detection of Methylated Circulating DNA as Noninvasive Biomarkers for Breast Cancer Diagnosis

    Science.gov (United States)

    Cheuk, Isabella Wai Yin; Shin, Vivian Yvonne

    2017-01-01

    Internationally, breast cancer is the most common female cancer, and is induced by a combination of environmental, genetic, and epigenetic risk factors. Despite the advancement of imaging techniques, invasive sampling of breast epithelial cells is the only definitive diagnostic procedure for patients with breast cancer. To date, molecular biomarkers with high sensitivity and specificity for the screening and early detection of breast cancer are lacking. Recent evidence suggests that the detection of methylated circulating cell-free DNA in the peripheral blood of patients with cancer may be a promising quantitative and noninvasive method for cancer diagnosis. Methylation detection based on a multi-gene panel, rather than on the methylation status of a single gene, may be used to increase the sensitivity and specificity of breast cancer screening. In this review, the results of 14 relevant studies, investigating the efficacy of cell-free DNA methylation screening for breast cancer diagnosis, have been summarized. The genetic risk factors for breast cancer, the methods used for breast cancer detection, and the techniques and limitations related to the detection of cell-free DNA methylation status, have also been reviewed and discussed. From this review, we conclude that the analysis of peripheral blood or other samples to detect differentially methylated cell-free DNA is a promising technique for use in clinical settings, and may improve the sensitivity of screening for both, early detection and disease relapse, and thus improve the future prognosis of patients with breast cancer. PMID:28382090

  15. Effect of body mass index on clinical and morphological characteristics of triple negative breast cancer

    Directory of Open Access Journals (Sweden)

    I. B. Schepotin

    2014-01-01

    Full Text Available Triple negative breast cancer phenotype characterized by a more aggressive than other molecular types of tumor. In addition to non-modifiable clinical and pathological factors of aggressiveness of triple negative breast cancer is caused by potentially modifiable lifestyle (obesity, alcohol consumption, hypodynamia etc.. In this study we investigated the relationship between body mass index at diagnosis, clinical and morphological outcome predictors, and the impact of obesity on overall and disease-free survival of patients with triple negative breast cancer.

  16. Breast cancer detection: Radiologists' performance using mammography with and without automated whole-breast ultrasound

    Energy Technology Data Exchange (ETDEWEB)

    Kelly, Kevin M. [Hall Center, Santa Monica, CA (United States); Lee, Sung-Jae; Comulada, W.S. [University of California, Semel Institute Center for Community Health, Los Angeles, CA (United States); Dean, Judy

    2010-11-15

    Radiologist reader performance for breast cancer detection using mammography plus automated whole-breast ultrasound (AWBU) was compared with mammography alone. Screenings for non-palpable breast malignancies in women with radiographically dense breasts with contemporaneous mammograms and AWBU were reviewed by 12 radiologists blinded to the diagnoses; half the studies were abnormal. Readers first reviewed the 102 mammograms. The American College of Radiology (ACR) Breast Imaging Reporting and Data System (BIRADS) and Digital Mammographic Imaging Screening Trial (DMIST) likelihood ratings were recorded with location information for identified abnormalities. Readers then reviewed the mammograms and AWBU with knowledge of previous mammogram-only evaluation. We compared reader performance across screening techniques using absolute callback, areas under the curve (AUC), and figure of merit (FOM). True positivity of cancer detection increased 63%, with only a 4% decrease in true negativity. Reader-averaged AUC was higher for mammography plus AWBU compared with mammography alone by BIRADS (0.808 versus 0.701) and likelihood scores (0.810 versus 0.703). Similarly, FOM was higher for mammography plus AWBU compared with mammography alone by BIRADS (0.786 versus 0.613) and likelihood scores (0.791 versus 0.614). Adding AWBU to mammography improved callback rates, accuracy of breast cancer detection, and confidence in callbacks for dense-breasted women. (orig.)

  17. Six cases showing radial scar/complex sclerosing lesions of the breast detected by breast cancer screening.

    Science.gov (United States)

    Inoue, Shingo; Inoue, Masayuki; Kawasaki, Tomonori; Takahashi, Hifumi; Inoue, Ayako; Maruyama, Takanori; Matsuda, Kei; Kunitomo, Kazuyoshi; Murata, Shinichi; Fujii, Hideki

    2008-01-01

    Recently, the number of radial scars (RS)/complex sclerosing lesions (CSL) of the breast has been increasingly detected by mammography screening. Six RS/CSL cases encountered clinicopathologically in the last 2 years are presented. All patients were pre-menopausal. Three cases were detected by ultrasonography (US) screening, and the others were detected by mammography (MG) screening. Partial mastectomy was carried out for both diagnosis and treatment, since it was difficult to discriminate whether RS/CSL accompanied breast cancer even by US, MG, MRI, aspiration cytology, and spring-loaded core needle biopsy (CNB). RS/CSL was histologically confirmed in all cases, and atypical ductal hyperplasia (ADH) or ductal carcinoma in situ (DCIS) accompanied RS/CSL in each case. At present, the clinical diagnosis of complicated breast cancer is difficult. Therefore, we selected partial mastectomy that resects a wider area than surgical biopsy to adequately diagnose breast cancer and to achieve a resected margin that is free from breast cancer. But it may be that partial resection should be performed in case of older age with larger RS/CSL, since it is over-surgery for RS/CSL without breast cancer. Further studies where complicated breast cancer is certainly identified are necessary.

  18. Development of Technologies for Early Detection and Stratification of Breast Cancer

    Science.gov (United States)

    2016-12-01

    AWARD NUMBER: W81XWH-11-1-0814 TITLE: Development of Technologies for Early Detection and Stratification of Breast Cancer PRINCIPAL...Development of Technologies for Early Detection and 5a. CONTRACT NUMBER W81XWH-11-1-0814 Stratification of Breast Cancer 5b. GRANT NUMBER 5c...test can be implemented. We are also working to characterize breast cancer biopsy samples with single cell resolution to discover the nature of the

  19. Microstrip Back-Cavity Hilbert Fractal Antenna for Experimental Detection of Breast Tumors

    OpenAIRE

    2016-01-01

    International audience; This paper presents a miniaturized microstrip back-cavity Hilbert Fractal Antenna specifically designed for breast cancer detection. This antenna is used to investigate on the possibility of detecting the presence of breast tumors by directly measuring the shift of the antenna resonance frequency. First, simulations are performed on a multi-layer breast model; then the proposed approach was applied for in vivo measurements on two different patients diagnosed with breas...

  20. Computer-aided-detection marker value and breast density in the detection of invasive lobular carcinoma

    Energy Technology Data Exchange (ETDEWEB)

    Destounis, Stamatia; Hanson, Sarah [The Elizabeth Wende Breast Clinic, Rochester, NY (United States); Roehrig, Jimmy [R2/Hologic, Inc., Santa Clara, CA (United States)

    2007-08-15

    Invasive Lobular Carcinoma (ILC) is frequently a mammographic and diagnostic dilemma; thus any additional information that CAD (Computer-Aided Detection) systems can give radiologists may be helpful. Our study was to evaluate the role of CAD numeric values as indicators of malignancy and the effect of breast density in the diagnosis of ILC. Eighty consecutive biopsy-proven ILC cases with CAD (ImageChecker {sup registered}, Hologic vertical stroke R2, Santa Clara, CA, versions 2.3, 3.1, 3.2, 5.0, 5.2) diagnosed between June 2002 and December 2004 were retrospectively reviewed. Data included: BIRADS {sup registered} breast density, whether CAD marked the cancer at diagnosis year or years prior, and lesion type. Study mammograms underwent additional CAD scans (Image Checker {sup registered} V5.3, V8.0, V8.1) to obtain a numeric value associated with each marker, low values represent increasingly suspicious features. CAD correctly marked 65% (52/80) of ILC cases, detection was found to decrease with increased breast density. Numeric values of CAD marks at sites of carcinoma showed median score of 171 (range 0 - 1121). The CAD marker may potentially be used as an additional indicator of suspicious lesion features in all breast densities and higher likelihood that an area on the mammogram requires further investigation. (orig.)

  1. Simple rules for ultrasonographic subcategorization of BI-RADS{sup ®}-US 4 breast masses

    Energy Technology Data Exchange (ETDEWEB)

    Jales, Rodrigo Menezes, E-mail: rodrigoj@hotmail.com [Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas – Unicamp, Campinas, São Paulo (Brazil); Sarian, Luís Otavio, E-mail: luis.sarian@gmail.com [Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas – Unicamp, Campinas, São Paulo (Brazil); Torresan, Renato, E-mail: torresan@terra.com.br [Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas – Unicamp, Campinas, São Paulo (Brazil); Marussi, Emílio Francisco, E-mail: efmarussi@uol.com.br [Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas – Unicamp, Campinas, São Paulo (Brazil); Álvares, Beatriz Regina, E-mail: alvaresb@terra.com.br [Department of Radiology, Faculty of Medical Sciences, State University of Campinas – Unicamp, Campinas, São Paulo (Brazil); Derchain, Sophie, E-mail: derchain@fcm.unicamp.br [Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas – Unicamp, Campinas, São Paulo (Brazil)

    2013-08-15

    Objectives: To evaluate an objective method for ultrasonographic (US) subcategorization of BI-RADS{sup ®}-US 4 breast masses based on clear and simple rules in order for woman to benefit from a more complete and homogeneous breast mass analysis. Methods: In this cross-sectional study, we selected 330 women, with 339 US breast masses, classified as BI-RADS{sup ®}-US 4. Three physicians experienced in breast imaging independently reviewed all US images, assessing mass shape, margins, orientation, echo texture and vascularity. These experts further subdivided the masses into subcategories 4a, 4b and 4c, according to simple US rules. Inter-observer agreement was calculated for US features categories and for final subcategory assessment. We also estimated the positive predictive value (PPV) for BI-RADS{sup ®}-US subcategories 4a, 4b and 4c assigned by each of the three observers. Results: Pathological examination of all masses confirmed 144 (42%) malignant and 195 (58%) benign tumors. Moderate agreement was obtained for mass shape, margins, vascularity and for final BI-RADS{sup ®}-US 4 subcategory. Substantial agreement was obtained for the description of mass orientation and echo texture. The PPV for subcategories 4a, 4b and 4c were, 17%, 45% and 85%, respectively, for the first observer and 20%, 38% and 79% and 17%, 40% and 85% for the other two observers. Conclusion: Standardization of a US subcategorization of BI-RADS{sup ®}-US 4 breast masses seems to be feasible, with substantial inter-observer agreement and progressive increase in the PPV in the subcategories 4a, 4b and 4c, provided that clear and simple classification rules are defined.

  2. Detection of mammaglobin in the sera of patients with breast cancer.

    Science.gov (United States)

    Fanger, G R; Houghton, R L; Retter, M W; Hendrickson, R C; Babcook, J; Dillon, D C; Durham, M D; Reynolds, L D; Johnson, J C; Carter, D; Fleming, T P; Roche, P C; Persing, D H; Reed, S G

    2002-01-01

    Current procedures for the diagnosis of breast cancer are cumbersome and invasive, making detection of this disease difficult. A rapid screening test for early detection of breast cancer would allow for better management of this deadly disease. In this report, we show that, with the exception of the skin, mammaglobin mRNA is specifically expressed in mammary tissue and commonly overexpressed in breast cancer. Mammaglobin is not expressed in other types of cancer including colon, lung, ovarian, and prostate cancer. Breast-specific expression of mammaglobin protein was shown using immunohistochemical methods. Mammaglobin is secreted from both established breast cancer cell lines and primary breast carcinoma cells cultured in vitro. Using a monoclonal antibody-based assay for monitoring the presence of mammaglobin in serum, elevated levels of mammaglobin were detected in sera of patients with breast cancer, but not in healthy women. Thus, mammaglobin, which is overexpressed and secreted from breast carcinoma cells, is detectable in sera of patients with breast cancer and may provide a rapid screening test for the diagnosis and management of breast cancer.

  3. Natural history of breast cancers detected in the Swedish mammography screening programme: a cohort study

    DEFF Research Database (Denmark)

    Zahl, Per-Henrik; Gøtzsche, Peter C; Mæhlen, Jan

    2011-01-01

    The natural history of screen-detected breast cancers is not well understood. A previous analysis of the incidence change during the introduction of the Norwegian screening programme in the late 1990s suggested that the natural history of many screen-detected invasive breast cancers is to regress...

  4. Thermography based breast cancer detection using texture features and minimum variance quantization

    Science.gov (United States)

    Milosevic, Marina; Jankovic, Dragan; Peulic, Aleksandar

    2014-01-01

    In this paper, we present a system based on feature extraction techniques and image segmentation techniques for detecting and diagnosing abnormal patterns in breast thermograms. The proposed system consists of three major steps: feature extraction, classification into normal and abnormal pattern and segmentation of abnormal pattern. Computed features based on gray-level co-occurrence matrices are used to evaluate the effectiveness of textural information possessed by mass regions. A total of 20 GLCM features are extracted from thermograms. The ability of feature set in differentiating abnormal from normal tissue is investigated using a Support Vector Machine classifier, Naive Bayes classifier and K-Nearest Neighbor classifier. To evaluate the classification performance, five-fold cross validation method and Receiver operating characteristic analysis was performed. The verification results show that the proposed algorithm gives the best classification results using K-Nearest Neighbor classifier and a accuracy of 92.5%. Image segmentation techniques can play an important role to segment and extract suspected hot regions of interests in the breast infrared images. Three image segmentation techniques: minimum variance quantization, dilation of image and erosion of image are discussed. The hottest regions of thermal breast images are extracted and compared to the original images. According to the results, the proposed method has potential to extract almost exact shape of tumors. PMID:26417334

  5. Quantification of αS1-casein in breast milk using a targeted mass spectrometry-based approach.

    Science.gov (United States)

    Altendorfer, Irina; König, Simone; Braukmann, Achim; Saenger, Thorsten; Bleck, Ellen; Vordenbäumen, Stefan; Kubiak, Anna; Schneider, Matthias; Jose, Joachim

    2015-01-25

    The caseins comprise a milk protein fraction of high nutritional value and, as more recently discovered, of immunologic relevance. In particular, αS1-casein (CSN1S1) is of interest being a potential autoantigen. So far, the concentration of caseins in human milk was primarily determined by indirect methods. The aim of this study was to directly measure the CSN1S1 content in breast milk using mass spectrometry (MS). The quantification was based on tryptic CSN1S1 peptides with the best response in liquid chromatography (LC)-MS/MS analysis. Targeted experiments allowed both specific and sensitive detection at the low fmol level. For this pilot study, twenty breast milk samples of the first week post-partum were analyzed and contained between 3 and 540μg/ml CSN1S1. Limitations of CSN1S1 quantification are discussed.

  6. 76 FR 55915 - Request for Nominations of Candidates to Serve on the Breast and Cervical Cancer Early Detection...

    Science.gov (United States)

    2011-09-09

    ... on the Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC) The... the CDC on the early detection and control of breast and cervical cancer. The role of the BCCEDCAC is...

  7. Performance of shear wave elastography for differentiation of benign and malignant solid breast masses.

    Directory of Open Access Journals (Sweden)

    Guiling Li

    Full Text Available OBJECTIVES: To perform a meta-analysis assessing the ability of shear wave elastography (SWE to identify malignant breast masses. METHODS: PubMed, the Cochrane Library, and the ISI Web of Knowledge were searched for studies evaluating the accuracy of SWE for identifying malignant breast masses. The diagnostic accuracy of SWE was evaluated according to sensitivity, specificity, and hierarchical summary receiver operating characteristic (HSROC curves. An analysis was also performed according to the SWE mode used: supersonic shear imaging (SSI and the acoustic radiation force impulse (ARFI technique. The clinical utility of SWE for identifying malignant breast masses was evaluated using analysis of Fagan plot. RESULTS: A total of 9 studies, including 1888 women and 2000 breast masses, were analyzed. Summary sensitivities and specificities were 0.91 (95% confidence interval [CI], 0.88-0.94 and 0.82 (95% CI, 0.75-0.87 by SSI and 0.89 (95% CI, 0.81-0.94 and 0.91 (95% CI, 0.84-0.95 by ARFI, respectively. The HSROCs for SSI and ARFI were 0.92 (95% CI, 0.90-0.94 and 0.96 (95% CI, 0.93-0.97, respectively. SSI and ARFI were both very informative, with probabilities of 83% and 91%, respectively, for correctly differentiating between benign and malignant breast masses following a "positive" measurement (over the threshold value and probabilities of disease as low as 10% and 11%, respectively, following a "negative" measurement (below the threshold value when the pre-test probability was 50%. CONCLUSIONS: SWE could be used as a good identification tool for the classification of breast masses.

  8. Development of array piezoelectric fingers towards in vivo breast tumor detection

    Science.gov (United States)

    Xu, Xin; Chung, Youngsoo; Brooks, Ari D.; Shih, Wei-Heng; Shih, Wan Y.

    2016-12-01

    We have investigated the development of a handheld 4 × 1 piezoelectric finger (PEF) array breast tumor detector system towards in vivo patient testing, particularly, on how the duration of the DC applied voltage, the depression depth of the handheld unit, and breast density affect the PEF detection sensitivity on 40 patients. The tests were blinded and carried out in four phases: with DC voltage durations 5, 3, 2, to 0.8 s corresponding to scanning a quadrant, a half, a whole breast, and both breasts within 30 min, respectively. The results showed that PEF detection sensitivity was unaffected by shortening the applied voltage duration from 5 to 0.8 s nor was it affected by increasing the depression depth from 2 to 6 mm. Over the 40 patients, PEF detected 46 of the 48 lesions (46/48)—with the smallest lesion detected being 5 mm in size. Of 28 patients (some have more than one lesion) with mammography records, PEF detected 31/33 of all lesions (94%) and 14/15 of malignant lesions (93%), while mammography detected 30/33 of all lesions (91%) and 12/15 of malignant lesions (80%), indicating that PEF could detect malignant lesions not detectable by mammography without significantly increasing false positives. PEF's detection sensitivity is also shown to be independent of breast density, suggesting that PEF could be a potential tool for detecting breast cancer in young women and women with dense breasts.

  9. Automated Abnormal Mass Detection in the Mammogram Images Using Chebyshev Moments

    Directory of Open Access Journals (Sweden)

    Alireza Talebpour

    2013-01-01

    Full Text Available Breast cancer is the second leading cause of cancer mortality among women after lung cancer. Early diagnosis of this disease has a major role in its treatment. Thus the use of computer systems as a detection tool could be viewed as essential to helping with this disease. In this study a new system for automated mass detection in mammography images is presented as being more accurate and valid. After optimization of the image and extracting a better picture of the breast tissue from the image and applying log-polar transformation, Chebyshev moments can be calculated in all areas of breast tissue. Then after extracting effective features in the diagnosis of mammography images, abnormal masses, which are important for the physician and specialists, can be determined with applying the appropriate threshold. To check the system performance, images in the MIAS (Mammographic Image Analysis Society mammogram database have been used and the results allowed us to draw a FROC (Free Response Receiver Operating Characteristic curve. When compared the FROC curve with similar systems experts, the high ability of our system was confirmed. In this system, images of different thresholds, specifically 445, 450, 455 are processed and then put through a sensitivity analysis. The process garnered good results 100, 92 and 84%, respectively and a false positive rate per image 2.56, 0.86, 0.26, respectively have been calculated. Comparing other automatic mass detection systems, the proposed method has a few advantages over prior systems: Our process allows us to determine the amount of false positives and/or sensitivity parameters within the system. This can be determined by the importance of the detection work being done. The proposed system achieves 100% sensitivity and 2.56 false positive for every image.

  10. Non-mass-like lesions on breast ultrasonography: a systematic review.

    Science.gov (United States)

    Uematsu, Takayoshi

    2012-10-01

    This article reviews various non-mass-like ultrasonography (US) findings of the breast and the sonographic-pathologic correlation with Doppler techniques, elastography, and MRI. High-resolution US allows for identification of small, clinically occult non-mass-like US findings. Ductal carcinoma in situ and invasive lobular carcinoma usually manifest as a non-mass-like lesion on US. It is useful to classify non-mass-like lesions on US in a similar manner to the classification of non-mass-like enhancement on MRI.

  11. Breast cancer detection and differentiation using piezoelectric fingers

    Science.gov (United States)

    Yegingil, Hakki Orhan

    A piezoelectric finger (PEF) is a tissue elasticity sensor developed in our laboratory. With a dual piezoelectric layer design, a PEF can apply a force and detect the resultant displacement all-electrically, ideal for potential in vivo tissue elasticity measurements. The goal of this thesis is to develop PEFs towards a breast cancer detector. The study encompasses (1) fundamental development and characterization of PEFs as a tissue elasticity sensor using model tissues, (2) application of PEFs to ex vivo breast samples, and (3) development of array PEFs towards in vivo measurements. I have shown that a PEF can accurately measure the elastic or shear moduli values of soft polymer samples using indentation methods. Furthermore, I have shown that a PEF has a depth sensitivity twice its width by testing inclusions embedded at various depths in model tissues. Using the measurements from two PEFs of different widths, I showed that the depth and modulus of an inclusion can be determined with an empirical "two-spring" model. I have shown that a PEF could distinguish between the 2-D and 3-D smooth and rough surface inclusions by examining the shear (G) to elastic (E) moduli ratio: smooth and rough inclusions have G/E ratio of ˜0.3 and >0.7, respectively. I have characterized 71 ex vivo breast tumors in terms of tumor size, location, malignancy and invasiveness. I have shown that PEFs predicted all abnormalities, including a 3 mm tumor. PEF's size predictions were accurate within 10% of the pathologic measurements. Furthermore, using G/E > 0.7 as a criterion, we predicted invasive carcinoma with 89% sensitivity and 82% specificity. With G/E = 0.3 and >0.7 as a criterion, the malignancy prediction had a 96% sensitivity and 54% specificity. Moving toward real patient applications, PEF compression array was developed, characterized over the model tissue samples, and successfully located an in-vivo tumor inside breast tissue and predicted its size, depth and modulus

  12. Classification of breast masses in ultrasonic B scans using Nakagami and K distributions

    Energy Technology Data Exchange (ETDEWEB)

    Shankar, P M [Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104 (United States); Dumane, Vishruta A [Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104 (United States); George, Thomas [Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104(United States); Piccoli, Catherine W [Division of Ultrasound, Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, 19107 (United States); Reid, John M [Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104 (United States); Forsberg, Flemming [Division of Ultrasound, Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, 19107 (United States); Goldberg, Barry B [Division of Ultrasound, Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, 19107 (United States)

    2003-07-21

    Classification of breast masses in greyscale ultrasound images is undertaken using a multiparameter approach. Five parameters reflecting the non-Rayleigh nature of the backscattered echo were used. These parameters, based mostly on the Nakagami and K distributions, were extracted from the envelope of the echoes at the site, boundary, spiculated region and shadow of the mass. They were combined to create a linear discriminant. The performance of this discriminant for the classification of breast masses was studied using a data set consisting of 70 benign and 29 malignant cases. The A{sub z} value for the discriminant was 0.96 {+-} 0.02, showing great promise in the classification of masses into benign and malignant ones. The discriminant was combined with the level of suspicion values of the radiologist leading to an A{sub z} value of 0.97 {+-} 0.014. The parameters used here can be calculated with minimal clinical intervention, so the method proposed here may therefore be easily implemented in an automated fashion. These results also support the recent reports suggesting that ultrasound may help as an adjunct to mammography in breast cancer diagnostics to enhance the classification of breast masses.

  13. CADe tools for early detection of breast cancer

    CERN Document Server

    Bottigli, U; Delogu, P; Fantacci, M E; Fauci, F; Forni, G; Golosio, B; Lauria, A; López, E; Magro, R; Masala, G L; Oliva, P; Palmiero, R; Raso, G; Retico, A; Stumbo, S; Tangaro, S

    2004-01-01

    A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. Our collaboration, among italian physicists and radiologists, has built a large distributed database of digitized mammographic images and has developed a Computer Aided Detection (CADe) system for the automatic analysis of mammographic images and installed it in some Italian hospitals by a GRID connection. Regarding microcalcifications, in our CADe digital mammogram is divided into wide windows which are processed by a convolution filter; after a self-organizing map analyzes each window and produces 8 principal components which are used as input of a neural network (FFNN) able to classify the windows matched to a threshold. Regarding massive lesions we select all important maximum intensity position and define the ROI radius. From each ROI found we extract the parameters which are used as input in a FFNN to distinguish betwee...

  14. Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm.

    Science.gov (United States)

    Pereira, Danilo Cesar; Ramos, Rodrigo Pereira; do Nascimento, Marcelo Zanchetta

    2014-04-01

    In Brazil, the National Cancer Institute (INCA) reports more than 50,000 new cases of the disease, with risk of 51 cases per 100,000 women. Radiographic images obtained from mammography equipments are one of the most frequently used techniques for helping in early diagnosis. Due to factors related to cost and professional experience, in the last two decades computer systems to support detection (Computer-Aided Detection - CADe) and diagnosis (Computer-Aided Diagnosis - CADx) have been developed in order to assist experts in detection of abnormalities in their initial stages. Despite the large number of researches on CADe and CADx systems, there is still a need for improved computerized methods. Nowadays, there is a growing concern with the sensitivity and reliability of abnormalities diagnosis in both views of breast mammographic images, namely cranio-caudal (CC) and medio-lateral oblique (MLO). This paper presents a set of computational tools to aid segmentation and detection of mammograms that contained mass or masses in CC and MLO views. An artifact removal algorithm is first implemented followed by an image denoising and gray-level enhancement method based on wavelet transform and Wiener filter. Finally, a method for detection and segmentation of masses using multiple thresholding, wavelet transform and genetic algorithm is employed in mammograms which were randomly selected from the Digital Database for Screening Mammography (DDSM). The developed computer method was quantitatively evaluated using the area overlap metric (AOM). The mean ± standard deviation value of AOM for the proposed method was 79.2 ± 8%. The experiments demonstrate that the proposed method has a strong potential to be used as the basis for mammogram mass segmentation in CC and MLO views. Another important aspect is that the method overcomes the limitation of analyzing only CC and MLO views. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  15. [Breast cancer mass screening in the Province of Liege. Results after 8 years].

    Science.gov (United States)

    Gordenne, W; Parmentier, J C; Delleuze, J M

    2000-08-01

    Breast cancer mass screening by mobile units started in 1992 in the Province of Liège (Belgium). This project is developed for rural areas and interests all women between 40-69 years old not regularly X-rayed in traditional breast cancer diagnosis centers. Despite lots of efforts population participation is low (25%). Nevertheless, the experiment results are encouraging: in a series of 31,443 women, 213 cancers were diagnosed, corresponding to a rate of 6.9/1000, 75% of which are of good prognosis. After an 8 years experiment, it is hoped that the population concerned becomes more sensitive to this mass screening project and one should expect a better collaboration with the other actors in the field of breast diseases diagnosis.

  16. Reproducibility of mass spectrometry based protein profiles for diagnosis of breast cancer across clinical studies

    DEFF Research Database (Denmark)

    Callesen, Anne Kjærgaard; Vach, Werner; Jørgensen, Per E;

    2008-01-01

    Serum protein profiling by mass spectrometry has achieved attention as a promising technology in oncoproteomics. We performed a systematic review of published reports on protein profiling as a diagnostic tool for breast cancer. The MEDLINE, EMBASE, and COCHRANE databases were searched for original...... studies reporting discriminatory protein peaks for breast cancer as either protein identity or as m/ z values in the period from January 1995 to October 2006. To address the important aspect of reproducibility of mass spectrometry data across different clinical studies, we compared the published lists....... Although the studies revealed a considerable heterogeneity in relation to experimental design, biological variation, preanalytical conditions, methods of computational data analysis, and analytical reproducibility of profiles, we found that 45% of peaks previously reported to correlate with breast cancer...

  17. Recurrent breast sparganosis: Clinical and radiological findings

    Energy Technology Data Exchange (ETDEWEB)

    Park, Ji Yoon; Woo, Ok Hee [Dept. of Radiology, Korea University Guro Hospital, Seoul (Korea, Republic of); Cho, Kyu Ran; Seo, Bo Kyoung [Korea University Anam Hospital, Seoul (Korea, Republic of)

    2015-09-15

    We report a case of recurrent sparganosis of the breast within 6 months following surgical removal of worms from the breast. The patient was referred to our hospital with a palpable mass in the right breast. On admission, breast ultrasonography revealed a tortuous tubular hypoechoic lesion with indistinct margins within a surrounding hyperechoic area, which strongly suggested sparganosis. We performed surgical excision and confirmed sparganosis. After 6 months, the patient detected a new mass in her right breast and visited our hospital. Breast ultrasonography revealed similar features in a different area of the same breast. We confirmed recurrent sparganosis surgically.

  18. Novel resonant cantilever mass change detection and resonant frequency tuning

    DEFF Research Database (Denmark)

    Grigorov, Alexander; Boisen, Anja

    2005-01-01

    This paper reports a novel way to detect the resonant frequency of an electro-thermally actuated cantilever sensor that we have previously reported, in order to perform mass detection by resonant frequency shift detection. The device is based on monitoring the rupture of a clamped cantilever stru...

  19. Interobserver and Intraobserver Agreement of Sonographic BIRADS Lexicon in the Assessment of Breast Masses.

    Science.gov (United States)

    Elverici, Eda; Zengin, Betul; Nurdan Barca, Ayse; Didem Yilmaz, Pinar; Alimli, Aysegul; Araz, Levent

    2013-09-01

    BI-RADS was first developed in 1993 for mammography and in 2003 it was redesigned for ultrasonography (US). If the observer agreement is high, the method used in the classification of lesion would be reproducible. The aim of this study is to evaluate the inter- and intraobserver agreement of sonographic BI-RADS lexicon in the categorization and feature characterization of nonpalpable breast lesions. We included 223 patients with 245 nonpalpable breast lesions who underwent ultrasound-guided wire needle localization. Two radiologists retrospectively described each lesion using sonographic BI-RADS descriptors and final assessment. The observers were blinded to mammographic images, medical history and pathologic results. Inter- and intraobserver agreement was assessed using Kappa (κ) agreement coefficient. The interobserver agreement for sonographic descriptors changed between fair and substantial. The highest agreement was detected for mass orientation (κ=0.66). The lowest agreement was found in the margin (κ=0.33). The interobserver agreement for BI-RADS final category was found as fair (κ=0.35). The intraobserver agreement for sonographic descriptors changed between substantial and almost perfect. The intraobserver agreement of BI-RADS result category was found as substantial for observer 1 (κ=0.64) and excellent for observer 2 (κ=0.83). Our results demonstrated that each observer was self-consistent in interpreting US BI-RADS classification, while interobserver agreement was relatively poor. Although it has been ten years since the description of sonographic BI-RADS lexicon, further training and periodic performance evaluations would probably help to achieve better agreement among radiologists.

  20. Rapid review: Estimates of incremental breast cancer detection from tomosynthesis (3D-mammography) screening in women with dense breasts.

    Science.gov (United States)

    Houssami, Nehmat; Turner, Robin M

    2016-12-01

    High breast tissue density increases breast cancer (BC) risk, and the risk of an interval BC in mammography screening. Density-tailored screening has mostly used adjunct imaging to screen women with dense breasts, however, the emergence of tomosynthesis (3D-mammography) provides an opportunity to steer density-tailored screening in new directions potentially obviating the need for adjunct imaging. A rapid review (a streamlined evidence synthesis) was performed to summarise data on tomosynthesis screening in women with heterogeneously dense or extremely dense breasts, with the aim of estimating incremental (additional) BC detection attributed to tomosynthesis in comparison with standard 2D-mammography. Meta-analysed data from prospective trials comparing these mammography modalities in the same women (N = 10,188) in predominantly biennial screening showed significant incremental BC detection of 3.9/1000 screens attributable to tomosynthesis (P mammography (N = 177,814) yielded a pooled difference in BC detection of 1.4/1000 screens representing significantly higher BC detection in tomosynthesis-screened women (P mammography. These estimates can inform planning of future trials of density-tailored screening and may guide discussion of screening women with dense breasts.

  1. The simulation of 3D mass models in 2D digital mammography and breast tomosynthesis

    Energy Technology Data Exchange (ETDEWEB)

    Shaheen, Eman, E-mail: eman.shaheen@uzleuven.be; De Keyzer, Frederik; Bosmans, Hilde; Ongeval, Chantal Van [Department of Radiology, University Hospitals Leuven, Herestraat 49, 3000 Leuven (Belgium); Dance, David R.; Young, Kenneth C. [National Coordinating Centre for the Physics of Mammography, Royal Surrey County Hospital, Guildford GU2 7XX, United Kingdom and Department of Physics, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH (United Kingdom)

    2014-08-15

    Purpose: This work proposes a new method of building 3D breast mass models with different morphological shapes and describes the validation of the realism of their appearance after simulation into 2D digital mammograms and breast tomosynthesis images. Methods: Twenty-five contrast enhanced MRI breast lesions were collected and each mass was manually segmented in the three orthogonal views: sagittal, coronal, and transversal. The segmented models were combined, resampled to have isotropic voxel sizes, triangularly meshed, and scaled to different sizes. These masses were referred to as nonspiculated masses and were then used as nuclei onto which spicules were grown with an iterative branching algorithm forming a total of 30 spiculated masses. These 55 mass models were projected into 2D projection images to obtain mammograms after image processing and into tomographic sequences of projection images, which were then reconstructed to form 3D tomosynthesis datasets. The realism of the appearance of these mass models was assessed by five radiologists via receiver operating characteristic (ROC) analysis when compared to 54 real masses. All lesions were also given a breast imaging reporting and data system (BIRADS) score. The data sets of 2D mammography and tomosynthesis were read separately. The Kendall's coefficient of concordance was used for the interrater observer agreement assessment for the BIRADS scores per modality. Further paired analysis, using the Wilcoxon signed rank test, of the BIRADS assessment between 2D and tomosynthesis was separately performed for the real masses and for the simulated masses. Results: The area under the ROC curves, averaged over all observers, was 0.54 (95% confidence interval [0.50, 0.66]) for the 2D study, and 0.67 (95% confidence interval [0.55, 0.79]) for the tomosynthesis study. According to the BIRADS scores, the nonspiculated and the spiculated masses varied in their degrees of malignancy from normal (BIRADS 1) to highly

  2. The simulation of 3D mass models in 2D digital mammography and breast tomosynthesis.

    Science.gov (United States)

    Shaheen, Eman; De Keyzer, Frederik; Bosmans, Hilde; Dance, David R; Young, Kenneth C; Van Ongeval, Chantal

    2014-08-01

    This work proposes a new method of building 3D breast mass models with different morphological shapes and describes the validation of the realism of their appearance after simulation into 2D digital mammograms and breast tomosynthesis images. Twenty-five contrast enhanced MRI breast lesions were collected and each mass was manually segmented in the three orthogonal views: sagittal, coronal, and transversal. The segmented models were combined, resampled to have isotropic voxel sizes, triangularly meshed, and scaled to different sizes. These masses were referred to as nonspiculated masses and were then used as nuclei onto which spicules were grown with an iterative branching algorithm forming a total of 30 spiculated masses. These 55 mass models were projected into 2D projection images to obtain mammograms after image processing and into tomographic sequences of projection images, which were then reconstructed to form 3D tomosynthesis datasets. The realism of the appearance of these mass models was assessed by five radiologists via receiver operating characteristic (ROC) analysis when compared to 54 real masses. All lesions were also given a breast imaging reporting and data system (BIRADS) score. The data sets of 2D mammography and tomosynthesis were read separately. The Kendall's coefficient of concordance was used for the interrater observer agreement assessment for the BIRADS scores per modality. Further paired analysis, using the Wilcoxon signed rank test, of the BIRADS assessment between 2D and tomosynthesis was separately performed for the real masses and for the simulated masses. The area under the ROC curves, averaged over all observers, was 0.54 (95% confidence interval [0.50, 0.66]) for the 2D study, and 0.67 (95% confidence interval [0.55, 0.79]) for the tomosynthesis study. According to the BIRADS scores, the nonspiculated and the spiculated masses varied in their degrees of malignancy from normal (BIRADS 1) to highly suggestive for malignancy (BIRADS 5

  3. Pattern of Breast Cancer Distribution in Ghana: A Survey to Enhance Early Detection, Diagnosis, and Treatment

    Directory of Open Access Journals (Sweden)

    Frank Naku Ghartey Jnr

    2016-01-01

    Full Text Available Background. Nearly 70% of women diagnosed with breast cancer in Ghana are in advanced stages of the disease due especially to low awareness, resulting in limited treatment success and high death rate. With limited epidemiological studies on breast cancer in Ghana, the aim of this study is to assess and understand the pattern of breast cancer distribution for enhancing early detection and treatment. Methods. We randomly selected and screened 3000 women for clinical palpable breast lumps and used univariate and bivariate analysis for description and exploration of variables, respectively, in relation to incidence of breast cancer. Results. We diagnosed 23 (0.76% breast cancer cases out of 194 (6.46% participants with clinically palpable breast lumps. Seventeen out of these 23 (0.56% were premenopausal (<46.6 years with 7 (0.23% being below 35 years. With an overall breast cancer incidence of 0.76% in this study, our observation that about 30% of these cancer cases were below 35 years may indicate a relative possible shift of cancer burden to women in their early thirties in Ghana, compared to Western countries. Conclusion. These results suggest an age adjustment for breast cancer screening to early twenties for Ghanaian women and the need for a nationwide breast cancer screening to understand completely the pattern of breast cancer distribution in Ghana.

  4. Mammographic features of screening detected pT1 (a–b) invasive breast cancer using BI-RADS lexicon

    Energy Technology Data Exchange (ETDEWEB)

    Bargalló, Xavier, E-mail: xbarga@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain); Santamaría, Gorane, E-mail: gsanta@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain); Velasco, Martín, E-mail: mvelasco@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain); Amo, Montse del, E-mail: mdelamo@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain); Arguis, Pedro, E-mail: parguis@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain); Burrel, Marta, E-mail: mburrel@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain); Capurro, Sebastian, E-mail: scapurro@clinic.ub.es [Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel, 170, 08036 Barcelona (Spain)

    2012-10-15

    Aim: To describe mammographic features in screening detected invasive breast cancer less than or equal to 10 mm using Breast Imaging Reporting and Data System lexicon in full-field digital mammography. Patients and methods: A retrospective analysis of 123 pT1 (a–b) invasive breast cancers in women aged 50–69 years from our screening program. Radiologic patterns were: masses, calcifications, distortions, asymmetries and mixed. Masses: shape, margins and density, and calcifications: morphology, number of flecks and size of the cluster were taken into account, following Breast Imaging Reporting and Data System terminology. Results: We found 61 masses (49.6%), 8 masses with calcifications (6.5%), 30 groups of calcifications (24.4%), 19 architectural distortions (15.4%), 1 architectural distortion with calcifications (0.8%), 4 asymmetries (3.2%). Sixty out of 69 masses were irregular in shape, 6 lobular, 2 ovals and 1 round. Thirty-four showed ill-defined margins, 29 spiculated and 6 microlobulated. Most of them showed a density similar to surrounding fibroglandular tissue. Calcifications were pleomorphic or fine linear in 24 of 30 (80%). Most of cases showed more than 10 flecks and a size greater than 1 cm. Conclusion: The predominant radiologic finding is an irregular, isodense mass those margins tend to share different descriptors, being ill-defined margins the most constant finding. Calcifications representing invasive cancer are predominantly pleomorphic with more than 10 flecks per cm. Architectural distortion and invasive tubular carcinoma are more common than reported in general series.

  5. Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approaches

    Science.gov (United States)

    Fotin, Sergei V.; Yin, Yin; Haldankar, Hrishikesh; Hoffmeister, Jeffrey W.; Periaswamy, Senthil

    2016-03-01

    Computer-aided detection (CAD) has been used in screening mammography for many years and is likely to be utilized for digital breast tomosynthesis (DBT). Higher detection performance is desirable as it may have an impact on radiologist's decisions and clinical outcomes. Recently the algorithms based on deep convolutional architectures have been shown to achieve state of the art performance in object classification and detection. Similarly, we trained a deep convolutional neural network directly on patches sampled from two-dimensional mammography and reconstructed DBT volumes and compared its performance to a conventional CAD algorithm that is based on computation and classification of hand-engineered features. The detection performance was evaluated on the independent test set of 344 DBT reconstructions (GE SenoClaire 3D, iterative reconstruction algorithm) containing 328 suspicious and 115 malignant soft tissue densities including masses and architectural distortions. Detection sensitivity was measured on a region of interest (ROI) basis at the rate of five detection marks per volume. Moving from conventional to deep learning approach resulted in increase of ROI sensitivity from 0:832 +/- 0:040 to 0:893 +/- 0:033 for suspicious ROIs; and from 0:852 +/- 0:065 to 0:930 +/- 0:046 for malignant ROIs. These results indicate the high utility of deep feature learning in the analysis of DBT data and high potential of the method for broader medical image analysis tasks.

  6. Local binary pattern texture-based classification of solid masses in ultrasound breast images

    Science.gov (United States)

    Matsumoto, Monica M. S.; Sehgal, Chandra M.; Udupa, Jayaram K.

    2012-03-01

    Breast cancer is one of the leading causes of cancer mortality among women. Ultrasound examination can be used to assess breast masses, complementarily to mammography. Ultrasound images reveal tissue information in its echoic patterns. Therefore, pattern recognition techniques can facilitate classification of lesions and thereby reduce the number of unnecessary biopsies. Our hypothesis was that image texture features on the boundary of a lesion and its vicinity can be used to classify masses. We have used intensity-independent and rotation-invariant texture features, known as Local Binary Patterns (LBP). The classifier selected was K-nearest neighbors. Our breast ultrasound image database consisted of 100 patient images (50 benign and 50 malignant cases). The determination of whether the mass was benign or malignant was done through biopsy and pathology assessment. The training set consisted of sixty images, randomly chosen from the database of 100 patients. The testing set consisted of forty images to be classified. The results with a multi-fold cross validation of 100 iterations produced a robust evaluation. The highest performance was observed for feature LBP with 24 symmetrically distributed neighbors over a circle of radius 3 (LBP24,3) with an accuracy rate of 81.0%. We also investigated an approach with a score of malignancy assigned to the images in the test set. This approach provided an ROC curve with Az of 0.803. The analysis of texture features over the boundary of solid masses showed promise for malignancy classification in ultrasound breast images.

  7. Integration of Breast Cancer Secretomes with Clinical Data Elucidates Potential Serum Markers for Disease Detection, Diagnosis, and Prognosis.

    Directory of Open Access Journals (Sweden)

    Yvonne S Ziegler

    Full Text Available Cancer cells secrete factors that influence adjacent cell behavior and can lead to enhanced proliferation and metastasis. To better understand the role of these factors in oncogenesis and disease progression, estrogen and progesterone receptor positive MCF-7 cells, triple negative breast cancer MDA-MB-231, DT22, and DT28 cells, and MCF-10A non-transformed mammary epithelial cells were grown in 3D cultures. A special emphasis was placed on triple negative breast cancer since these tumors are highly aggressive and no targeted treatments are currently available. The breast cancer cells secreted factors of variable potency that stimulated proliferation of the relatively quiescent MCF-10A cells. The conditioned medium from each cell line was subjected to mass spectrometry analysis and a variety of secreted proteins were identified including glycolytic enzymes, proteases, protease inhibitors, extracellular matrix proteins, and insulin-like growth factor binding proteins. An investigation of the secretome from each cell line yielded clues about strategies used for breast cancer proliferation and metastasis. Some of the proteins we identified may be useful in the development of a serum-based test for breast cancer detection, diagnosis, prognosis, and monitoring.

  8. International programs for the detection of breast cancer

    Directory of Open Access Journals (Sweden)

    Robert A Smith

    2011-10-01

    Full Text Available The benefit of early breast cancer detection is the foundation for programs around the globe to reduce morbidity and mortality related to breast cancer. These programs range from educational programs targeted to women and health professionals to organized or opportunistic screening programs that target specific age groups of women.Modern mammography programs tend to follow the protocols from the randomized clinical trials, but there is variation in key program elements such as the age groups invited to screening, the screening interval, performance indicators, and the uptake rate. Until recently, the emphasis on early breast cancer detection was limited to mammography, but the steady rise in incidence and mortality in low and medium resource countries, where mammography may be unaffordable, has led to a renewal in emphasizing the incremental value of downsizing palpable tumors through physical exams. There is consensus that programs should be designed based on disease burden and available resources, but that even in low resource countries there are opportunities to reduce breast deaths through earlier diagnosis and effective treatment. Screening programs are most effective when they are organized, and program planners should consider WHO criteria and local input data as a basis for tailoring screening programs to the needs of their population.El beneficio de la detección temprana del cáncer de mama es el fundamento para programas alrededor del mundo que buscan reducir la morbilidad y mortalidad relacionada con este padecimiento. Estos programas abarcan desde los de tipo educativo, orientados a mujeres y profesionales de la salud, hasta programas de monitoreo organizados u oportunistas que tienen como objetivo grupos específicos de edad. Los programas modernos de mastografía tienden a seguir protocolos para estudios clínicos aleatorios,pero hay una variación en elementos clave como los grupos de edad invitados a participar, el intervalo

  9. Mother and Infant Body Mass Index, Breast Milk Leptin and Their Serum Leptin Values

    Science.gov (United States)

    Savino, Francesco; Sardo, Allegra; Rossi, Lorenza; Benetti, Stefania; Savino, Andrea; Silvestro, Leandra

    2016-01-01

    Purpose: This study investigates correlations between mother and infant Body Mass Index (BMI), their serum leptin values and breast milk leptin concentration in early infancy. Subjects and Methods: We determined serum leptin values in 58 healthy infants and leptin values in their mothers’ breast milk, using radioimmunoassay (RIA). Infant and maternal anthropometrics were measured. Results: Median leptin concentration was 3.9 ng/mL (interquartile range (IQR): 2.75) in infant serum, 4.27 ng/mL (IQR: 5.62) in maternal serum and 0.89 ng/mL (IQR: 1.32) in breast milk. Median maternal BMI and weight were 24 kg/m2 (IQR: 4.41) and 64 kg (IQR: 15). Median infant BMI was 15.80 kg/cm2 (IQR: 4.02), while average weight was 5.130 kg (IQR: 1.627). Infants serum leptin values positively correlated with infants’ BMI (p = 0.001; r = 0.213) and breast milk leptin (p = 0.03; r = 0.285). Maternal serum leptin values positively correlated with maternal BMI (p = 0.000, r = 0.449) and breast milk leptin ones (p = 0.026; r = 0.322). Conclusion: Breast milk leptin and maternal BMI could influence infant serum leptin values. Further studies are needed to better elucidate the role of genetics and environment on infant leptin production and risk of obesity later in life. PMID:27338468

  10. Mother and Infant Body Mass Index, Breast Milk Leptin and Their Serum Leptin Values

    Directory of Open Access Journals (Sweden)

    Francesco Savino

    2016-06-01

    Full Text Available Purpose: This study investigates correlations between mother and infant Body Mass Index (BMI, their serum leptin values and breast milk leptin concentration in early infancy. Subjects and Methods: We determined serum leptin values in 58 healthy infants and leptin values in their mothers’ breast milk, using radioimmunoassay (RIA. Infant and maternal anthropometrics were measured. Results: Median leptin concentration was 3.9 ng/mL (interquartile range (IQR: 2.75 in infant serum, 4.27 ng/mL (IQR: 5.62 in maternal serum and 0.89 ng/mL (IQR: 1.32 in breast milk. Median maternal BMI and weight were 24 kg/m2 (IQR: 4.41 and 64 kg (IQR: 15. Median infant BMI was 15.80 kg/cm2 (IQR: 4.02, while average weight was 5.130 kg (IQR: 1.627. Infants serum leptin values positively correlated with infants’ BMI (p = 0.001; r = 0.213 and breast milk leptin (p = 0.03; r = 0.285. Maternal serum leptin values positively correlated with maternal BMI (p = 0.000, r = 0.449 and breast milk leptin ones (p = 0.026; r = 0.322. Conclusion: Breast milk leptin and maternal BMI could influence infant serum leptin values. Further studies are needed to better elucidate the role of genetics and environment on infant leptin production and risk of obesity later in life.

  11. Automated breast cancer detection and classification using ultrasound images: A survey

    OpenAIRE

    2010-01-01

    Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown,early detection and diagnos is is the key for breast cancer control,and it can increase the success of treatment,save lives and reduce cost.

  12. Computer-aided detection in breast MRI : a systematic review and meta-analysis

    NARCIS (Netherlands)

    Dorrius, Monique D.; Jansen-van der Weide, Marijke C.; van Ooijen, Peter M. A.; Pijnappel, Ruud M.; Oudkerk, Matthijs

    To evaluate the additional value of computer-aided detection (CAD) in breast MRI by assessing radiologists' accuracy in discriminating benign from malignant breast lesions. A literature search was performed with inclusion of relevant studies using a commercially available CAD system with automatic

  13. Contrast-enhanced dual-energy mammography : a promising new imaging tool in breast cancer detection

    NARCIS (Netherlands)

    Lalji, Ulrich; Lobbes, Marc

    2014-01-01

    Contrast-enhanced dual-energy mammography (CEDM) is a promising new breast imaging tool for breast cancer detection. In CEDM, an iodine-based contrast agent is intravenously administered and subsequently, dual-energy mammography is performed. This results in a set of images containing both a regular

  14. Classification of breast masses by ultrasonic Nakagami imaging: a feasibility study

    Science.gov (United States)

    Tsui, Po-Hsiang; Yeh, Chih-Kuang; Chang, Chien-Cheng; Liao, Yin-Yin

    2008-11-01

    Ultrasound is an important clinical tool in noninvasive diagnoses of breast cancer. The Nakagami statistical parameter estimated from the ultrasonic backscattered envelope has been demonstrated to be useful in complementing conventional B-mode scans when classifying breast masses. However, the shadowing effect caused by certain high-attenuation tumors in the B-mode image makes the tumor contour unclear, and thus it is more difficult to choose an appropriate region of interest from which to collect tumor data for estimating the Nakagami parameter. This study explored the feasibility of using the Nakagami parametric image to overcome the shadowing effect for visualizing the properties of breast masses. Experiments were performed on a breast-mimicking phantom and on some typical clinical cases for cysts, fat and tumors (fibroadenoma) (n = 18) in order to explore the performance of the Nakagami image under ideal and practical conditions. The experimental results showed that the Nakagami image pixels (i.e. the local Nakagami parameter) in the cyst, tumor and fat are 0.21 ± 0.01, 0.65 ± 0.05 and 0.98 ± 0.07, respectively, for six independent phantom measurements, and 0.14 ± 0.03, 0.67 ± 0.11 and 0.89 ± 0.08, respectively, for clinical experiments. This suggests that the Nakagami image is able to classify various breast masses (p < 0.005) although the clinical results from tumors of different cases have a larger variance that may be caused by the complexity of real breast tissues. In particular, unlike the B-mode image, the Nakagami image is not subject to significant shadowing effects, making it useful to complement the B-mode image to describe the tumor contour for identifying the tumor-related region when the shadowing effect is stronger or a low system gain is used.

  15. Classification of breast masses by ultrasonic Nakagami imaging: a feasibility study

    Energy Technology Data Exchange (ETDEWEB)

    Tsui, P-H; Chang, C-C [Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, 128, Section 2, Academia Road, Nankang, Taipei 11529, Taiwan (China); Yeh, C-K; Liao, Y-Y [Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan (China)], E-mail: mechang@gate.sinica.edu.tw, E-mail: ckyeh@mx.nthu.edu.tw

    2008-11-07

    Ultrasound is an important clinical tool in noninvasive diagnoses of breast cancer. The Nakagami statistical parameter estimated from the ultrasonic backscattered envelope has been demonstrated to be useful in complementing conventional B-mode scans when classifying breast masses. However, the shadowing effect caused by certain high-attenuation tumors in the B-mode image makes the tumor contour unclear, and thus it is more difficult to choose an appropriate region of interest from which to collect tumor data for estimating the Nakagami parameter. This study explored the feasibility of using the Nakagami parametric image to overcome the shadowing effect for visualizing the properties of breast masses. Experiments were performed on a breast-mimicking phantom and on some typical clinical cases for cysts, fat and tumors (fibroadenoma) (n = 18) in order to explore the performance of the Nakagami image under ideal and practical conditions. The experimental results showed that the Nakagami image pixels (i.e. the local Nakagami parameter) in the cyst, tumor and fat are 0.21 {+-} 0.01, 0.65 {+-} 0.05 and 0.98 {+-} 0.07, respectively, for six independent phantom measurements, and 0.14 {+-} 0.03, 0.67 {+-} 0.11 and 0.89 {+-} 0.08, respectively, for clinical experiments. This suggests that the Nakagami image is able to classify various breast masses (p < 0.005) although the clinical results from tumors of different cases have a larger variance that may be caused by the complexity of real breast tissues. In particular, unlike the B-mode image, the Nakagami image is not subject to significant shadowing effects, making it useful to complement the B-mode image to describe the tumor contour for identifying the tumor-related region when the shadowing effect is stronger or a low system gain is used.

  16. Chiral recognition detected by fast atom bombardment mass spectrometry.

    Science.gov (United States)

    Sawada, M

    1997-01-01

    Detection of chiral recognition in various intermolecular interaction systems using mass spectrometry has become important for the modern fields of analytical chemistry, organic chemistry, and biochemistry due to the characteristic nature of the rapid method and the trace amount needed. This review presents the various methods for detecting and evaluating chiral recognition used primarily in fast atom bombardment mass spectrometry. Emphasis is put on fundamentals and applications of these methods for variously existing enantioselective intermolecular interaction systems.

  17. Contour classification in thermographic images for detection of breast cancer

    Science.gov (United States)

    Okuniewski, Rafał; Nowak, Robert M.; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Oleszkiewicz, Witold

    2016-09-01

    Thermographic images of breast taken by the Braster device are uploaded into web application which uses different classification algorithms to automatically decide whether a patient should be more thoroughly examined. This article presents the approach to the task of classifying contours visible on thermographic images of breast taken by the Braster device in order to make the decision about the existence of cancerous tumors in breast. It presents the results of the researches conducted on the different classification algorithms.

  18. Life expectancy of screen-detected invasive breast cancer patients compared with women invited to the Nijmegen Screening Program

    NARCIS (Netherlands)

    J.D.M. Otten; M.J.M. Broeders (Mireille); G.J. den Heeten (Gerard); R. Holland (Roland); J. Fracheboud (Jacques); H.J. de Koning (Harry); A.L.M. Verbeek (Andre)

    2010-01-01

    textabstractBACKGROUND: Screening can lead to earlier detection of breast cancer and thus to an improvement in survival. The authors studied the life expectancy of women with screen-detected invasive breast cancer (patients) compared with women invited to the breast cancer screening program in Nijme

  19. Evaluation of breast MIBI-Tc 99 m scintigraphy for the detection of breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Loriaux, C.; Baeyens, L.; Paternot, J.; Martin, P.; Verhas, M. [Hospital Universitaire Brugmann, Bruxelles (Belgium). Service de Medecine Nucleaire et Clinique de Senologie

    1997-12-31

    Full text. The aim of the work was to appreciate the contribution of MIBI-Tc 99 m scintigraphy for the detection of breast cancer and to situate this procedure in comparison with mammography 5 (X-ray M) and echography (E C). 21 patients presenting suspected lesion on clinical evaluation/or mammography were referred to the department for breast MIBI-Tc 99 m scintigraphy. 10 min after IV injection of MIBI-Tc 99 m 3 planar scan were realized with a present time of 10 min. The whole investigation including X-ray and surgical procedures were performed within 15 days. The pathologic findings were: 21 malignant lesion (18 canal cancers, 3 lobular cancers), 4 benign lesions (1 fibroadenoma, 2 granuloma, 1 fibrocystic disease). Lesions were bilateral in 3 cases and there was 1 bifocal lesion. 17 tumours were palpable and 8 not palpable, 10 lesion were <1 cm (40%), 9 were between 1,1 and 2,5 cm (36%) and 7 were >2,5 cm (24%). The overall sensitivity and specificity for MIBI-Tc 99 m were 67% and 75% respectively. For the group of palpable tumours, sensitivity of MIBI-Tc 99 m was 86%. In three cases, the X-ray M was difficult to interpret, the MIBI-Tc 99 m was true positive. In 3 false positive X-ray M procedures, the scintigraphy was true negative but, whatever the size of the tumor the best sensitivity was obtained with X-ray M (71%) and E C (70%) while for MIBI Tc-99 m, sensitivity was less (67%). MIBI-Tc 99 m appears to be a complementary tool in cases of difficulty of interpretation of mammography particularly in case of recurrence of the disease

  20. UWB based low-cost and non-invasive practical breast cancer early detection

    Science.gov (United States)

    Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Jusoh, M.; Ali, S.

    2017-03-01

    Breast cancer is one of the main causes of women death worldwide. Breast tumor is an early stage of cancer that locates in cells of a human breast. As there is no remedy, early detection is crucial. Towards this, Ultra-Wideband (UWB) is a prominent candidate. It is a wireless communication technology which can achieve high bandwidth with low power utilization. UWB is suitable to be used for short range communication systems including breast cancer detection since it is secure, non-invasive and human health friendly. This paper presents the low-cost and non-invasive early breast cancer detection strategy using UWB sensor (or antenna). Emphasis is given here to detect breast tumor in 2D and 3D environments. The developed system consisted of hardware and software. Hardware included UWB transceiver and a pair of home-made directional sensor/antenna. The software included feed-forward back propagation Neural Network (NN) module to detect the tumor existence, size and location along with soft interface between software and hardware. Forward scattering technique was used by placing two sensors diagonally opposite sides of a breast phantom. UWB pulses were transmitted from one side of phantom and received from other side, controlled by the software interface in PC environment. Collected received signals were then fed into the NN module for training, testing and validation. The system exhibited detection efficiency on tumor existence, location (x, y, z), and size were approximately 100%, (78.17%, 70.66%, 92.46%), 85.86% respectively. The proposed UWB based early breast cancer detection system could be more practical with low-cost, user friendly and non-harmful features. This project may help users to monitor their breast health regularly at their home.

  1. Vascular endothelial growth factor and microvessel density for detection and prognostic evaluation of invasive breast cancer

    Institute of Scientific and Technical Information of China (English)

    Lukui Yang; Long Li; Xiangyu Cui; Dalei Yang

    2015-01-01

    Objective The purpose of this study was to evaluate the distribution of vascular endothelial growth factor (VEGF) and CD105-microvessel density (MVD) in invasive breast carcinomas. We also aimed to analyze the relationship between VEGF and MVD expression with other standard prognostic parameters associated with invasive breast cancer, such as size, grade, stage of the cancer, metastases, and tumor recurrence. Methods Immunohistochemistry via the Ultra SensitiveTM S-P method was used to detect VEGF and MVD expression in 128 cases of invasive breast carcinoma. Specimens were evaluated for CD105 expres-sion. Positively stained microvessels were counted in dense vascular foci under 400× magnification. MVD in the peripheral area adjacent to the lesion and in the central area within the lesion in invasive breast carcinomas and benign leisions groups were also assessed. Fifty cases of benign breast disease tissue were selected as the control group. Results Results showed that 64.1% of invasive breast cancer samples were VEGF-positive, higher than in benign breast disease tissue (22.0%, P 0.05). MVD of the peripheral area adja-cent to the lesion was significantly higher than those central area within the lesion in both invasive breast cancer and benign breast disease groups (P 50 years) or the two tumor diameter groups (≤2 cm vs.>2 cm), P > 0.05. Conclusion Overexpression of VEGF and MVD may be important biological markers for invasion and lymph node and distant metastases of invasive breast cancer. Combined detection of the two tumor mark-ers could provide better prognostic monitoring for disease recurrence and metastasis, as wel as aid with clinical staging of breast tumors. Prediction of the risk for metastasis and recurrence, as wel as recurrence patterns based on VEGF and MVD post-surgery, could aid design of better fol ow-up regimens and appro-priate treatment strategies for breast cancer patients.

  2. Occult Primary Neuroendocrine Tumor Metastasis to the Breast Detected on Screening Mammogram

    Directory of Open Access Journals (Sweden)

    Fabiana Policeni

    2016-01-01

    Full Text Available Metastatic tumors are rare in the breast. Well-differentiated neuroendocrine tumors (WDNETs are slow-growing neoplasms that arise from neuroendocrine cells, particularly in the gastrointestinal tract and bronchial tree. Metastatic WDNET to the breast is a rare entity. We present a case report of ileal WDNET metastatic to the breast which was initially identified as a small mass in the patient′s left breast on screening mammography. Targeted ultrasound identified a suspicious mass, and ultrasound-guided percutaneous core biopsy was performed. Pathology revealed metastatic WDNET. Breast magnetic resonance imaging (MRI was then performed and demonstrated left axillary Level 2 lymphadenopathy, and liver lesions were suspicious for metastasis. The patient underwent abdominal computed tomography (CT to evaluate for distant metastatic disease. A spiculated mass was found near the ileocecal valve, suggestive of primary ileal WDNET. In addition, CT identified multiple liver lesions, most compatible with metastasis. Indium 111 OctreoScan confirmed radiotracer uptake in the ileum consistent with primary neuroendocrine tumor. In this report, we review the imaging characteristics of metastatic WDNET to the breast by different imaging modalities including mammogram, ultrasound, and breast MRI.

  3. Metastasis of Breast Carcinoma to Intercostal Muscle Detected by Breast MRI: A Case Report

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Kyung Eun; Son, Eun Ju; Kim, Jeong Ah; Youk, Ji Hyun; Kim, Eun Kyung; Kwak, Jin Young; Jeong, Joon [Yonsei University College of Medicine, Seoul (Korea, Republic of)

    2010-08-15

    Breast cancer can metastasize to any organ; however, distant metastases are unusual at the time of diagnosis. Furthermore metastasis to skeletal muscle is an uncommon manifestation of malignancy. We report a case of a 45-year-old woman diagnosed with cancer of the left breast with metastases to the ipsilateral intercostal muscle. To the best of our knowledge this is the first report of intercostal muscle metastasis from breast cancer in the English literature

  4. Breast Microcalcification Detection Using Super-Resolution Ultrasound Image Reconstruction

    Science.gov (United States)

    2010-09-01

    Gotzsche, P. C. and Olsen, O., “Is screening for breast cancer with mammography justifiable?,” The Lancet 355, 129–134 (2000). [6] Olsen, O. and Gotzsche...P. C., “Cochrane review on screening for breast cancer with mammography,” The Lancet 358, 1340–1342 (2001). [7] Skaane, P. and Skjennald, A., “Screen

  5. Digital breast tomosynthesis for detecting multifocal and multicentric breast cancer: influence of acquisition geometry on model observer performance in breast phantom images

    Science.gov (United States)

    Wen, Gezheng; Park, Subok; Markey, Mia K.

    2017-03-01

    Multifocal and multicentric breast cancer (MFMC), i.e., the presence of two or more tumor foci within the same breast, has an immense clinical impact on treatment planning and survival outcomes. Detecting multiple breast tumors is challenging as MFMC breast cancer is relatively uncommon, and human observers do not know the number or locations of tumors a priori. Digital breast tomosynthesis (DBT), in which an x-ray beam sweeps over a limited angular range across the breast, has the potential to improve the detection of multiple tumors.1, 2 However, prior efforts to optimize DBT image quality only considered unifocal breast cancers (e.g.,3-9), so the recommended geometries may not necessarily yield images that are informative for the task of detecting MFMC. Hence, the goal of this study is to employ a 3D multi-lesion (ml) channelized-Hotelling observer (CHO) to identify optimal DBT acquisition geometries for MFMC. Digital breast phantoms and simulated DBT scanners of different geometries (e.g., wide or narrow arc scans, different number of projections in each scan) were used to generate image data for the simulation study. Multiple 3D synthetic lesions were inserted into different breast regions to simulate MF cases and MC cases. 3D partial least squares (PLS) channels, and 3D Laguerre-Gauss (LG) channels were estimated to capture discriminant information and correlations among signals in locally varying anatomical backgrounds, enabling the model observer to make both image-level and location-specific detection decisions. The 3D ml-CHO with PLS channels outperformed that with LG channels in this study. The simulated MC cases and MC cases were not equally difficult for the ml-CHO to detect across the different simulated DBT geometries considered in this analysis. Also, the results suggest that the optimal design of DBT may vary as the task of clinical interest changes, e.g., a geometry that is better for finding at least one lesion may be worse for counting the

  6. A mm-Wave 2D Ultra-Wideband Imaging Radar for Breast Cancer Detection

    Directory of Open Access Journals (Sweden)

    Stefano Moscato

    2013-01-01

    Full Text Available This paper presents the preliminary design of a mm-wave ultra-wideband (UWB radar for breast cancer detection. A mass screening of women for breast cancer is essential, as the early diagnosis of the tumour allows best treatment outcomes. A mm-wave UWB radar could be an innovative solution to achieve the high imaging resolution required without risks for the patient. The 20–40 GHz frequency band used in the system proposed in this work guarantees high cross/range resolution performances. The developed preliminary architecture employs two monomodal truncated double-ridge waveguides that act as antennas; these radiators are shifted by microstep actuators to form a synthetic linear aperture. The minimum antenna-to-antenna distance achievable, the width of the synthetic aperture, and the minimum frequency step determine the performance of the 2D imaging system. Measures are performed with a mm-wave vector network analyzer driven by an automatic routine, which controls also the antennas shifts. The scattering matrix is then calibrated and the delay-multiply-and-sum (DMAS algorithm is applied to elaborate a high-resolution 2D image of the targets. Experimental results show that 3 mm cross and 8 mm range resolutions were achieved, which is in line with theoretical expectations and promising for future developments.

  7. [Clinical impact of social marketing strategy on breast cancer detection].

    Science.gov (United States)

    Quintana-Vidaurri, Adriana Guadalupe; Santana-Chávez, Luis Alejandro; González-Villalobos, Cynthia Guadalupe

    2013-01-01

    to prove the impact of social marketing strategies in breast cancer detection, taking as a parameter the number of mammographies performed. quasi-experimental research, before and after. Sixty-nine physicians in charge of medical consultation and fourteen nurses were studied for a period of seven months, applying social marketing strategies. The total of mammographies were analyzed using Wilcoxon rank-sum test (p < 0.05). morning schedule: medical consultation with a base of 1.5 mammographies monthly by physician office, first and second month after intervention of 2.45 (p = 0.007); nurses with a base of 2.14 mammographies, first and second month after intervention were 3.25 (p = 0.007) and 3.28 (p = 0.000), respectively. Afternoon schedule: medical consultation, base were 0.47, first and second month after intervention were 2.38 (p = 0.000) and 2.35 (p = 0.000) respectively; nurses with a base of 0.85, first and second month 2.79 (p = 0.000) and 3.91 (p = 0.000), respectively. social marketing proved to be an adequate strategy, which has an impact on the clinical practice of both physicians and nurses.

  8. Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images.

    Science.gov (United States)

    Paul, Angshuman; Mukherjee, Dipti Prasad

    2015-11-01

    Histopathological grading of cancer not only offers an insight to the patients' prognosis but also helps in making individual treatment plans. Mitosis counts in histopathological slides play a crucial role for invasive breast cancer grading using the Nottingham grading system. Pathologists perform this grading by manual examinations of a few thousand images for each patient. Hence, finding the mitotic figures from these images is a tedious job and also prone to observer variability due to variations in the appearances of the mitotic cells. We propose a fast and accurate approach for automatic mitosis detection from histopathological images. We employ area morphological scale space for cell segmentation. The scale space is constructed in a novel manner by restricting the scales with the maximization of relative-entropy between the cells and the background. This results in precise cell segmentation. The segmented cells are classified in mitotic and non-mitotic category using the random forest classifier. Experiments show at least 12% improvement in F1 score on more than 450 histopathological images at 40× magnification.

  9. Challenges in the Design of Microwave Imaging Systems for Breast Cancer Detection

    DEFF Research Database (Denmark)

    Zhurbenko, Vitaliy

    2011-01-01

    Among the various breast imaging modalities for breast cancer detection, microwave imaging is attractive due to the high contrast in dielectric properties between the cancerous and normal tissue. Due to this reason, this modality has received a significant interest and attention from the microwave...... community. This paper presents the survey of the ongoing research in the field of microwave imaging of biological tissues, with major focus on the breast tumor detection application. The existing microwave imaging systems are categorized on the basis of the employed measurement concepts. The advantages...

  10. Computer Aided Detection of Breast Masses in Digital Tomosynthesis

    Science.gov (United States)

    2008-06-01

    using an information-theoretic image retrieval scheme with BIRADs -based relevance feedback,” Proc. SPIE 5370, 810– 816 2004. 21H. Alto, R. M. Rangayyan...Medical Physics, Vol. 34, No. 8, August 2007scheme with BIRADs -based relevance feedback,” Proc. SPIE 5370, 810– 816 2004. 27G. D. Tourassi, B

  11. Evaluation of different aspects of power Doppler sonography in differentiating and prognostication of breast masses

    Directory of Open Access Journals (Sweden)

    Mehri Sirous

    2015-01-01

    Full Text Available Background: We conducted our study on 1110 patients with breast masses in order to investigate different aspects of power Doppler sonography (PDS for differentiating between benign and malignant breast lesions and their prognostication. Materials and Methods: This study was conducted on the women who were referred to the sonography units of University Hospitals for breast sonography and had a BIRADS-3 mass or higher in gray scale sonography. Then, PDS was performed for all the patients. Vascularization, number of vessels, resistance index (RI, pulsatility index (PI, and vascularization patterns were evaluated for all the lesions. We compared our radiologic findings concerning different histopathologic and hormonal aspects of the lesions. Results: The differences between mean vascular density in malignant lesions concerning size of the tumor, histological grade, stage, and hormone receptor status were statistically significant. Although, there was an overlap between benign and malignant values. A resistive index (RI value higher than 0.83 as a sign for malignancy had sensitivity equal to 75% and specificity equal to 97% (P = 0.04 and 0.03, respectively. A PI value higher than 1.6 has a sensitivity and specificity value of 70% and 98%, respectively, as a malignancy sign (P = 0.02 and 0.04, respectively. Conclusion: It seems that while malignant tumors have significantly higher number of vessels in comparison to benign one, since the number of vessels overlap between benign and malignant tumors, this aspect has little clinical usefulness in distinguishing or prognostication of breast masses. In contrast RI, PI, and vascularization pattern have an ability to differentiate and predict the prognosis of breast lesions.

  12. Classification of breast masses by ultrasonic Nakagami imaging: a feasibility study.

    Science.gov (United States)

    Tsui, Po-Hsiang; Yeh, Chih-Kuang; Chang, Chien-Cheng; Liao, Yin-Yin

    2008-11-07

    Ultrasound is an important clinical tool in noninvasive diagnoses of breast cancer. The Nakagami statistical parameter estimated from the ultrasonic backscattered envelope has been demonstrated to be useful in complementing conventional B-mode scans when classifying breast masses. However, the shadowing effect caused by certain high-attenuation tumors in the B-mode image makes the tumor contour unclear, and thus it is more difficult to choose an appropriate region of interest from which to collect tumor data for estimating the Nakagami parameter. This study explored the feasibility of using the Nakagami parametric image to overcome the shadowing effect for visualizing the properties of breast masses. Experiments were performed on a breast-mimicking phantom and on some typical clinical cases for cysts, fat and tumors (fibroadenoma) (n = 18) in order to explore the performance of the Nakagami image under ideal and practical conditions. The experimental results showed that the Nakagami image pixels (i.e. the local Nakagami parameter) in the cyst, tumor and fat are 0.21 +/- 0.01, 0.65 +/- 0.05 and 0.98 +/- 0.07, respectively, for six independent phantom measurements, and 0.14 +/- 0.03, 0.67 +/- 0.11 and 0.89 +/- 0.08, respectively, for clinical experiments. This suggests that the Nakagami image is able to classify various breast masses (p Nakagami image is not subject to significant shadowing effects, making it useful to complement the B-mode image to describe the tumor contour for identifying the tumor-related region when the shadowing effect is stronger or a low system gain is used.

  13. Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass.

    Science.gov (United States)

    Park, Jiyoon; Woo, Ok Hee; Shin, Hye Seon; Cho, Kyu Ran; Seo, Bo Kyoung; Kang, Eun Young

    2015-10-01

    The purpose of this study is to evaluate the diagnostic performance of SWE in palpable breast mass and to compare with color overlay pattern in SWE with conventional US and quantitative SWE for assessing palpable breast mass. SWE and conventional breast US were performed in 133 women with 156 palpable breast lesions (81 benign, 75 malignant) between August 2013 to June 2014. Either pathology or periodic imaging surveillance more than 2 years was a reference standard. Existence of previous image was blinded to performing radiologists. US BI-RADS final assessment, qualitative and quantitative SWE measurements were evaluated. Diagnostic performances of grayscale US, SWE and US combined to SWE were calculated and compared. Correlation between pattern classification and quantitative SWE was evaluated. Both color overlay pattern and quantitative SWE improved the specificity of conventional US, from 81.48% to 96.30% (p=0.0005), without improvement in sensitivity. Color overlay pattern was significantly related to all quantitative SWE parameters and malignancy rate (poverlay pattern was between 2 and 3. Emax with optimal cutoff at 45.1 kPa showed the highest Az value, sensitivity, specificity and accuracy among other quantitative SWE parameters (poverlay pattern and pathology (poverlay pattern classification is more quick and easy and may represent quantitative SWE measurements with similar diagnostic performances. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  14. Detection of Slit2 promoter hypermethylation in tissue and serum samples from breast cancer patients.

    Science.gov (United States)

    Kim, Ga-Eon; Lee, Kyung Hwa; Choi, Yoo Duk; Lee, Ji Shin; Lee, Jae Hyuk; Nam, Jong Hee; Choi, Chan; Park, Min Ho; Yoon, Jung Han

    2011-10-01

    Promoter hypermethylation has been shown to be a common mechanism for inactivation of tumor suppressor genes in breast cancer. The aim of this study was to investigate the prevalence of Slit2 promoter hypermethylation in both the tumor and serum samples of breast cancer patients with ductal carcinoma in situ (DCIS) or invasive breast carcinoma (IBC). The methylation status of Slit2 was investigated in 210 tissue samples (15 breast with no pathological findings, 26 DCIS, and 169 IBC samples) and 123 corresponding serum samples (15 breast with no pathological findings, 26 DCIS, and 82 IBC samples) using methylation-specific polymerase chain reaction. Immunohistochemical staining for Slit2 was also performed using tissue microarray blocks to determine whether Slit2 promoter hypermethylation correlated with loss of Slit2 expression. Slit2 promoter hypermethylation was not detected in breast tissue and serum samples from patients with no pathological findings. DCIS or IBC showed a statistically higher frequency of Slit2 promoter hypermethylation compared to breast with no pathological findings in both the tissue and serum samples; however, there were no statistically significant differences between DCIS and IBC samples. Similar Slit2 promoter hypermethylation patterns were seen in the tissue samples and corresponding serum specimens (p Slit2 promoter hypermethylation was associated with loss of Slit2 expression. These results suggest that Slit2 promoter hypermethylation appears to be responsible for functionally silencing Slit2 expression. Slit2 promoter hypermethylation may be considered as a possible serum marker for early detection of breast cancer.

  15. Combined use of fine needle aspiration cytology and full field digital mammography in preoperative assessment of breast masses

    Institute of Scientific and Technical Information of China (English)

    Yanan Zhang; Junsheng Li; Zhenling Ji; Wenhao Tang

    2008-01-01

    Objective: To evaluate the accuracy of these two methods and focus on the analysis and management of the false-negative cases.Methods: Results of full field digital mammography (FFDM) and fine needle aspiration cytology (FNAC)were obtained and analyzed from a consecutive of 102 women with palpable breast masses, results were correlated with the histopathological findings.Results: Of the 102 cases, malignancy was confirmed in 43 cases (42.16%) by final pathological examination, the sensitivity and specificity of cancer detection with FNA cytology was 90.7% (39/43) and 89.8% (53/59), respectively, the whole accuracy was 90.2% (92/102), with a positive predictive value of 86.7% (39/45) and a negative predictive value of 93.0% (53/57).FFDM gave a sensitivity of 88.4% (38/43), specificity of 83.1% (49/59), and whole accuracy 85.3% (87/102), the positive predictive value and negative predictive value was 79.2% (38/48) and 90.7% (49/54), respectively.All the FNAC-negative cancer cases were suggestive of malignancy by FFDM findings, however, the benign cases which presentas equivocal finding by FNA cytology, could not be ruled out the presence of malignancy.Conclusion: FNAC and FFDM both are accurate, effective and economical diagnostic modalities, combined use of these two methods can reduced the misdiagnosis rate of breast masses.

  16. Optimization of a Breast Mass Classifier for Computer-Aided Ultrasound Analysis

    Science.gov (United States)

    Andrè, M. P.; Galperin, M.; Contro, G.; Omid, N.; Olson, L.

    The goal of this research was to optimize performance of a Computer-Aided Diagnostic system to identify, analyze and compare breast masses based on parameters measured in the ultrasound image. We compared case-based reasoning using Relative Similarity to an Artificial Neural Network in order to implement an objective form of the ACR BIRADS scheme to describe and score breast masses. The image feature set was reduced to nine including margins, shape, echogenicity, echo texture, orientation and posterior acoustic attenuation. Both classifiers performed well with a high ROC AZ although RS performed significantly better than the ANN in Specificity, PPV and achieved the goal of very high Specificity without a reduction in Sensitivity. Compared to a preliminary version of the RS classifier this optimized version of RS has significantly higher AZ (0.96 vs. 0.93)

  17. Segmentation techniques evaluation based on a single compact breast mass classification scheme

    Science.gov (United States)

    Matheus, Bruno R. N.; Marcomini, Karem D.; Schiabel, Homero

    2016-03-01

    In this work some segmentation techniques are evaluated by using a simple centroid-based classification system regarding breast mass delineation in digital mammography images. The aim is to determine the best one for future CADx developments. Six techniques were tested: Otsu, SOM, EICAMM, Fuzzy C-Means, K-Means and Level-Set. All of them were applied to segment 317 mammography images from DDSM database. A single compact set of attributes was extracted and two centroids were defined, one for malignant and another for benign cases. The final classification was based on proximity with a given centroid and the best results were presented by the Level-Set technique with a 68.1% of Accuracy, which indicates this method as the most promising for breast masses segmentation aiming a more precise interpretation in schemes CADx.

  18. The Relationship between Complementary and Alternative Medicine Use and Breast Cancer Early Detection: A Critical Review

    Directory of Open Access Journals (Sweden)

    Laura C. Dale

    2012-01-01

    Full Text Available Objective. Complementary and alternative medicine (CAM use is prevalent. Concurrently, breast cancer is the most common cancer in women worldwide, with early detection techniques widely available. This paper examined the overlap between participation in allopathic breast cancer early detection activities and CAM use. Methods. A systematic review examined the association between breast screening behaviors and CAM use. Searches were conducted on the PubMed, Embase, CINAHL, and NCCAM databases and gray literature between 1990 and 2011. STROBE criteria were used to assess study quality. Results. Nine studies met the search criteria. Four focused on CAM use in women at high breast cancer risk and five on average risk women. CAM use in women ranged from 22% to 82% and was high regardless of breast cancer risk. Correlations between CAM use and breast cancer early detection were not strong or consistent but significant relationships that did emerge were positive. Conclusions. Populations surveyed, and measures used to assess CAM, breast cancer screening, and correlates, varied widely. Many women who obtained allopathic screening also sought out CAM. This provides a foundation for future interventions and research to build on women’s motivation to enhance health and develop ways to increase the connections between CAM and allopathic care.

  19. Epidermal cyst of the breast simulating a benign solid mass: A case report

    Energy Technology Data Exchange (ETDEWEB)

    Chung, Sun Yang; Shim, Jeong Yeon [Pochon CHA University College of Medicine, Pochon (Korea, Republic of); Oh, Ki Keun [Yonsei University College of Medicine, Seoul (Korea, Republic of)

    2001-06-15

    Epidermal cysts are benign epithelial cysts occurring within the skin. Epidermal cysts are not uncommonly found in the skin of the breast, but rare in the nipple and subareolar area. There have been only a few radiologic reports. We report a case of a 40 year old woman with an incidentally discovered epidermal cyst, located in the subareolar area, and this lesion was radiologically resembled a benign solid mass.

  20. Sensitivity of a direct computer-aided detection system in full-field digital mammography for detection of microcalcifications not associated with mass or architectural distortion.

    Science.gov (United States)

    Scaranelo, Anabel M; Crystal, Pavel; Bukhanov, Karina; Helbich, Thomas H

    2010-06-01

    The purpose of this study was to evaluate the sensitivity of a direct computer-aided detection (CAD) system (d-CAD) in full-field digital mammography (FFDM) for the detection of microcalcifications not associated with mass or architectural distortion. A database search of 1063 consecutive stereotactic core biopsies performed between 2002 and 2005 identified 196 patients with Breast Imaging-Reporting and Data System (BI-RADS) 4 and 5 microcalcifications not associated with mass or distortion detected exclusively by bilateral FFDM. A commercially available CAD system (Second Look, version 7.2) was retrospectively applied to the craniocaudal and mediolateral oblique views in these patients (mean age, 59 years; range, 35-84 years). Breast density, location and mammographic size of the lesion, distribution, and tumour histology were recorded and analysed by using chi(2), Fisher exact, or McNemar tests, when applicable. When using d-CAD, 71 of 74 malignant microcalcification cases (96%) and 101 of 122 benign microcalcifications (83%) were identified. There was a significant difference (P < .05) between CAD sensitivity on the craniocaudal view, 91% (68 of 75), vs CAD sensitivity on the mediolateral oblique view, 80% (60 of 75). The d-CAD sensitivity for dense breast tissue (American College of Radiology [ACR] density 3 and 4) was higher (97%) than d-CAD sensitivity (95%) for nondense tissue (ACR density 1 and 2), but the difference was not statically significant. All 28 malignant calcifications larger than 10 mm were detected by CAD, whereas the sensitivity for lesions small than or equal to 10 mm was 94%. D-CAD had a high sensitivity in the depiction of asymptomatic breast cancers, which were seen as microcalcifications on FFDM screening, with a sensitivity of d-CAD on the craniocaudal view being significantly better. All malignant microcalcifications larger than 10 mm were detected by d-CAD. Copyright 2010 Canadian Association of Radiologists. Published by Elsevier Inc

  1. Preprocessing for classification of thermograms in breast cancer detection

    Science.gov (United States)

    Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz

    2016-09-01

    Performance of binary classification of breast cancer suffers from high imbalance between classes. In this article we present the preprocessing module designed to negate the discrepancy in training examples. Preprocessing module is based on standardization, Synthetic Minority Oversampling Technique and undersampling. We show how each algorithm influences classification accuracy. Results indicate that described module improves overall Area Under Curve up to 10% on the tested dataset. Furthermore we propose other methods of dealing with imbalanced datasets in breast cancer classification.

  2. A modified triple test for palpable breast masses: the value of ultrasound and core needle biopsy.

    Science.gov (United States)

    Wai, Christina J; Al-Mubarak, Ghada; Homer, Marc J; Goldkamp, Allison; Samenfeld-Specht, Marja; Lee, Yoojin; Logvinenko, Tanya; Rothschild, Janice G; Graham, Roger A

    2013-03-01

    The original triple test score (TTS)--clinical examination, mammogram, and fine-needle aspiration (FNA) biopsy--has long been used to evaluate palpable breast masses. We modified the original TTS to include ultrasound (US) and core biopsy to determine their role in evaluating palpable breast masses. A retrospective chart review of 320 female patients was performed. We developed a modified triple test score (mTTS) that included physical examination, mammogram and/or US, and FNA and/or core biopsy. For the examination and imaging score, 1-3 points were given for low, moderate, or high suspicion. Biopsy scores were characterized as benign, atypical, or malignant. Final outcome was determined by open biopsy or follow-up greater than 1 year. Physical examination was 92% accurate (95% confidence interval [CI] 0.89-0.96, p core biopsy changed the scores of 24 patients; only three changed clinical management. For patients with a palpable breast mass and a mTTS score of 3-4, no further assessment is necessary. Those with a mTTS of 8-9 can proceed to definitive therapy. Patients with a mTTS of 5-7 require further assessment. US and/or core biopsy added little to the accuracy or predictive value of the original TTS.

  3. Quantitative evaluation of small breast masses using a compartment model analysis on dynamic MR imaging

    Energy Technology Data Exchange (ETDEWEB)

    Ikeda, Osamu; Morishita, Shoji; Kido, Taeko; Kitajima, Mika; Okamura, Kenji; Fukuda, Seiji [Kumamoto Rosai Hospital, Yatsushiro (Japan); Yamashita, Yasuyuki; Takahashi, Mutsumasa

    1998-07-01

    To differentiate between malignant and benign breast masses using a compartmental analysis, 55 patients with breast masses (fibroadenoma, n=22; invasive ductal carcinoma, n=29; noninvasive ductal carcinoma, n=8) underwent Gd-DTPA enhanced dynamic MR imaging. Dynamic MR images obtained using two-dimensional fat-saturated fast multiplanar corrupted gradient echo technique over 10 minutes following bolus injection of Gd-DTPA. The triexponential concentration curve of Gd-DTPA was fitted to a theoretical model based on compartmental analysis. Using this method, the transfer constant (or permeability surface product per unit volume of component k) and f{sub 3}/f{sub 1}=f were measured, where f{sub 1} represents tumor vessel volume and f{sub 3} represents extracellular volume. The k value was significantly greater (p<0.01) for malignant tumors, and the k value seen in cases of noninvasive ductal carcinoma was less than that for invasive ductal carcinoma. The f value was significantly smaller (p<0.01) for malignant tumors, whereas the f value for noninvasive ductal carcinoma was not significantly different from that for invasive ductal carcinoma. We believe that this type of compartmental analysis may be of value for the evaluation of breast masses. (author)

  4. Metastatic Breast Lesion to the Falx Detected with PET/CT

    Energy Technology Data Exchange (ETDEWEB)

    Harrison, Chester; Schuster, David M. [Emory Univ., Atlanta (United States)

    2012-06-15

    Intracranial dural metastasis is increasingly encountered in imaging. Autopsies conducted on patients with advanced metastatic disease demonstrate dural involvement in 9% of cases, with breast and prostate cancer the most common primaries. Awareness of this entity and imaging appearances is especially important in evaluating malignancies prone to dural metastasis. A 57-year-old woman with a strong family history of breast cancer initially presented after self-detection of a right breast lump. Subsequent mammogram and biopsies yielded a diagnosis of right infiltrating ductal carcinoma with a positive lymph node as well as left invasive lobular carcinoma. Initial staging PET-CT (not shown) at the time of diagnosis demonstrated no abnormal FDG uptake remote from the breast. Neoadjuvant chemotherapy was instituted, and a PET-CT was obtained to evaluate disease response, demonstrating an approximately 1.8 cm hypermetabolic intra-cranial mass, localized to the region of the anterior corpus callosum on axian PET (Fig. 1a), axial fused PET-CT (Fig. 1b), and sagittal fused PET-CT (Fig. 1c) with a maximum SUV of 15.9. There was associated bifrontal vasogenic edema (Fig. 1d) on the CT demonstrated on brain windows. Marked progression of disease was noted elsewhere, including hypermetabolic adenopathy and skeletal disease. A contrast-enhanced MRI of the brain was obtained demonstrating extensive T1 hypointensity, T2, and FLAIR (Fig. 2a) hyperintensity in the bilateral paramedian frontallobes representing vasogenic edema. Post-contrast imaging demonstrated three solidly enhancing masses in the areas of described vasogenic edema, one large extra-axial and two sub-centimeter parenchymal lesions. The large extra-axial and two sub-centimeter parenchymal lesions. The large extra-axial mass demonstrated homogeneous solid enhancement, in the midline anteriorly centered on the falx, just superior to the anterior corpus callosum. This measured 1.7cm transverse x 3.1cm AP x 2.4cm

  5. Mammographically detected breast arterial calcifications: Indicators for arteriosclerotic diseases?

    Energy Technology Data Exchange (ETDEWEB)

    Taskin, Fuesun [Adnan Menderes University, Faculty of Medicine, Department of Radiology, 09100 Aydin (Turkey)]. E-mail: fusuntaskin@yahoo.com; Akdilli, Alev [Adnan Menderes University, Faculty of Medicine, Department of Radiology, 09100 Aydin (Turkey); Karaman, Can [Adnan Menderes University, Faculty of Medicine, Department of Radiology, 09100 Aydin (Turkey); Unsal, Alparslan [Adnan Menderes University, Faculty of Medicine, Department of Radiology, 09100 Aydin (Turkey); Koeseoglu, Kutsi [Adnan Menderes University, Faculty of Medicine, Department of Radiology, 09100 Aydin (Turkey); Ergin, Filiz [Adnan Menderes University, Faculty of Medicine, Department of Public Health, Aydin (Turkey)

    2006-11-15

    Purpose: To determine the prevalence of breast arterial calcifications (BAC) detected on mammography and search for conditions that may influence their existence. Materials and methods: The mammograms of 6156 consecutive patients were reevaluated for the presence of BAC. Four hundred eighty-five women having BAC were enrolled in the patient group. Additionally, randomly selected 500 women, without BAC constituted the control group. Hospital records of the participants were reviewed for parity, menopausal status, oral contraceptive agent (OCA) usage, hormone replacement therapy (HRT) usage, presence of diabetes, hypertension, hyperlipidemia, albuminuria and history of myocardial infarction (MI). Results: Prevalence of BAC was 7.9% on mammograms. Ninety-four women were aged between 40 and 49 years, 165 were aged between 50 and 59 years and 226 were over 60 years among BAC positive 485 women. A significant relationship was found for the frequency of BAC versus age and HRT usage in all age groups (p < 0.05). Similarly, significant relationships were also found for the frequency of BAC versus OCA usage, HRT usage, hyperlipidemia and diabetes in age group of 40-49 and in age group of 50-59, and for the frequency of BAC versus albuminuria in age group of 40-49, BAC versus history of myocardial infarction in age group of 59-59 and over 60 years (p < 0.05). The correlations were not significant for the relationships of BAC with OCA usage, hyperlipidemia, diabetes and albuminuria in women over 60 years (p > 0.05). Conclusion: Most benign findings like BAC are not routinely reported during mammographic evaluation. Our study showed that, presence of BAC on mammography was strongly related to advancing age. However, these findings may signify a systemic risk and can be used as precautious indicators for undocumented systemic diseases, especially in premenopausal women.

  6. Retrospective observation on contribution and limitations of screening for breast cancer with mammography in Korea: detection rate of breast cancer and incidence rate of interval cancer of the breast

    OpenAIRE

    2016-01-01

    Background The purpose of this study was to determine the benefits and limitations of screening for breast cancer using mammography. Methods Descriptive design with follow-up was used in the study. Data from breast cancer screening and health insurance claim data were used. The study population consisted of all participants in breast cancer screening from 2009 to 2014. Crude detection rate, positive predictive value and sensitivity and specificity of breast cancer screening and, incidence rat...

  7. Abbreviated protocol for breast MRI: Are multiple sequences needed for cancer detection?

    Energy Technology Data Exchange (ETDEWEB)

    Mango, Victoria L., E-mail: vlm2125@columbia.edu [Columbia University Medical Center, Herbert Irving Pavilion, 161 Fort Washington Avenue, 10th Floor, New York, NY 10032 (United States); Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); Morris, Elizabeth A., E-mail: morrise@mskcc.org [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); David Dershaw, D., E-mail: dershawd@mskcc.org [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); Abramson, Andrea, E-mail: abramsoa@mskcc.org [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); Fry, Charles, E-mail: charles_fry@nymc.edu [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); New York Medical College, 40 Sunshine Cottage Rd, Valhalla, NY 10595 (United States); Moskowitz, Chaya S. [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); Hughes, Mary, E-mail: hughesm@mskcc.org [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); Kaplan, Jennifer, E-mail: kaplanj@mskcc.org [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States); Jochelson, Maxine S., E-mail: jochelsm@mskcc.org [Memorial Sloan-Kettering Cancer Center, Breast and Imaging Center, 300 East 66th Street, New York, NY 10065 (United States)

    2015-01-15

    Highlights: • Abbreviated breast MR demonstrates high sensitivity for breast carcinoma detection. • Time to perform/interpret the abbreviated exam is shorter than a standard MRI exam. • An abbreviated breast MRI could reduce costs and make MRI screening more available. - Abstract: Objective: To evaluate the ability of an abbreviated breast magnetic resonance imaging (MRI) protocol, consisting of a precontrast T1 weighted (T1W) image and single early post-contrast T1W image, to detect breast carcinoma. Materials and methods: A HIPAA compliant Institutional Review Board approved review of 100 consecutive breast MRI examinations in patients with biopsy proven unicentric breast carcinoma. 79% were invasive carcinomas and 21% were ductal carcinoma in situ. Four experienced breast radiologists, blinded to carcinoma location, history and prior examinations, assessed the abbreviated protocol evaluating only the first post-contrast T1W image, post-processed subtracted first post-contrast and subtraction maximum intensity projection images. Detection and localization of tumor were compared to the standard full diagnostic examination consisting of 13 pre-contrast, post-contrast and post-processed sequences. Results: All 100 cancers were visualized on initial reading of the abbreviated protocol by at least one reader. The mean sensitivity for each sequence was 96% for the first post-contrast sequence, 96% for the first post-contrast subtraction sequence and 93% for the subtraction MIP sequence. Within each sequence, there was no significant difference between the sensitivities among the 4 readers (p = 0.471, p = 0.656, p = 0.139). Mean interpretation time was 44 s (range 11–167 s). The abbreviated imaging protocol could be performed in approximately 10–15 min, compared to 30–40 min for the standard protocol. Conclusion: An abbreviated breast MRI protocol allows detection of breast carcinoma. One pre and post-contrast T1W sequence may be adequate for detecting

  8. Clinically and mammographically occult breast lesions: detection and classification with high-resolution sonography.

    Science.gov (United States)

    Buchberger, W; Niehoff, A; Obrist, P; DeKoekkoek-Doll, P; Dünser, M

    2000-08-01

    With recent significant advances in ultrasound technology, the potential of high-resolution sonography to improve the sensitivity of cancer diagnosis in women with dense breasts has become a matter of interest for breast imagers. To determine how often physician-performed high-resolution sonography can detect nonpalpable breast cancers that are not revealed by mammography, 8,970 women with breast density grades 2 through 4 underwent high-resolution sonography as an adjunct to mammography. All sonographically detected, clinically and mammographically occult breast lesions that were not simple cysts were prospectively classified into benign, indeterminate, or malignant categories. Diagnoses were confirmed by ultrasound-guided fine-needle aspiration, core-needle biopsy, or surgical biopsy. In 8,103 women with normal findings at mammography and physical examination, 32 cancers and 330 benign lesions were detected in 273 patients with sonography only. Eight additional cancers were found in 867 patients with a malignant (n = 5) or a benign (n = 3) palpable or mammographically detected index lesion. The overall prevalence of cancers detected with screening sonography was 0.41%, and the proportion of sonographically detected cancers to the total number of nonpalpable cancers was 22%. The mean size of invasive cancers detected only by sonography was 9.1 mm, and was not statistically different from the mean size of invasive cancers detected by mammography. The sensitivity of prospective sonographic classification for malignancy was 100%, and the specificity was 31%. In conclusion, the use of high-resolution sonography as an adjunct to mammography in women with dense breasts may lead to detection of a significant number of otherwise occult cancers that are no different in size from nonpalpable mammographically detected cancers. Prospective classification of these lesions based on sonographic characteristics resulted in an acceptable benign-to-malignant biopsy rate of 6.3:1.

  9. Early detection of breast cancer through population-based mammographic screening in Asian women: a comparison study between screen-detected and symptomatic breast cancers.

    Science.gov (United States)

    Chuwa, Esther W L; Yeo, Allen W Y; Koong, Heng Nung; Wong, Chow Yin; Yong, Wei Sean; Tan, Puay Hoon; Ho, Juliana T S; Wong, Jill S L; Ho, Gay Hui

    2009-01-01

    The first nation-wide mammographic screening program in Asia, BreastScreen Singapore (BSS), was launched in Singapore in January 2002. This study compared the presentation and results of screen-detected breast cancers with symptomatic breast cancers in two affiliated high-volume institutions, one of which was an assessment centre for BSS. The medical records of patients diagnosed with primary breast cancer at the Department of General Surgery, Singapore General Hospital and the Department of Surgical Oncology, National Cancer Centre, Singapore, during the period January 2002 to December 2003 were reviewed. Clinical and pathological comparisons were made between screen-detected lesions and symptomatic lesions. Of a total of 767 cases, 640 (83.4%) were invasive carcinomas and 127 (16.6%) were ductal carcinoma in-situ (DCIS) lesions. Only 13.4% of them were screen-detected. Compared to symptomatic cancers, screen-detected lesions were of smaller size (median size 18 versus 23 mm), a lower stage (stages 0-2, 95 versus 83.2%) and histologic grade (grade 1-2, 71 versus 60%), with a higher incidence of DCIS (31.0 versus 14.3%) and had higher rates of breast conservation (45.6 versus 28.2%) (all p-values 20 mm, nodal involvement, cerbB2 overexpression, and advanced disease stage were independent poor prognostic factors for disease-free survival, whereas nodal involvement, advanced disease, and recurrence predicted poor cancer-specific survival. However, there was no statistically significant difference in disease-free survival or cancer-specific survival between the two groups at a median follow-up of 38 months. Screening mammography has allowed the detection of smaller and hence oncologically more favorable lesions in Asian women. Although no significant survival benefit was demonstrated in our study, a longer period of follow-up is essential before the benefit of mortality reduction, as a result of mammography screening becomes evident in our population.

  10. Design and application of a structured phantom for detection performance comparison between breast tomosynthesis and digital mammography

    Science.gov (United States)

    Cockmartin, L.; Marshall, N. W.; Zhang, G.; Lemmens, K.; Shaheen, E.; Van Ongeval, C.; Fredenberg, E.; Dance, D. R.; Salvagnini, E.; Michielsen, K.; Bosmans, H.

    2017-02-01

    This paper introduces and applies a structured phantom with inserted target objects for the comparison of detection performance of digital breast tomosynthesis (DBT) against 2D full field digital mammography (FFDM). The phantom consists of a 48 mm thick breast-shaped polymethyl methacrylate (PMMA) container filled with water and PMMA spheres of different diameters. Three-dimensionally (3D) printed spiculated masses (diameter range: 3.8-9.7 mm) and non-spiculated masses (1.6-6.2 mm) along with microcalcifications (90-250 µm) were inserted as targets. Reproducibility of the phantom application was studied on a single system using 30 acquisitions. Next, the phantom was evaluated on five different combined FFDM & DBT systems and target detection was compared for FFDM and DBT modes. Ten phantom images in both FFDM and DBT modes were acquired on these 5 systems using automatic exposure control. Five readers evaluated target detectability. Images were read with the four-alternative forced-choice (4-AFC) paradigm, with always one segment including a target and 3 normal background segments. The percentage of correct responses (PC) was assessed based on 10 trials of each reader for each object type, size and imaging modality. Additionally, detection threshold diameters at 62.5 PC were assessed via non-linear regression fitting of the psychometric curve. The reproducibility study showed no significant differences in PC values. Evaluation of target detection in FFDM showed that microcalcification detection thresholds ranged between 110 and 118 µm and were similar compared to the detection in DBT (range of 106-158 µm). In DBT, detection of both mass types increased significantly (p  =  0.0001 and p  =  0.0002 for non-spiculated and spiculated masses respectively) compared to FFDM, achieving almost 100% detection for all spiculated mass diameters. In conclusion, a structured phantom with inserted targets was able to show evidence for detectability

  11. Contrast-enhanced microwave detection and treatment of breast cancer

    Science.gov (United States)

    Gao, Fuqiang

    Contrast agents and heating agents have been proposed for microwave breast tumor imaging and treatment, respectively. The dielectric properties of the tumor are altered with contrast agents or heating agents that locally accumulate in the tumor. The resulting change in dielectric properties of the tumor has the potential to enhance the sensitivity of microwave imaging of breast tumors and increase the efficiency and selectivity of microwave thermal therapy of breast tumors. This dissertation addresses several key challenges in contrast-enhanced microwave imaging and treatment of breast tumors. Carbon nanotubes (CNTs) have been shown to enhance both the relative permittivity and effective conductivity of the host medium, and are promising as theranostic (integrated therapeutic and diagnostic) agents. Thus, our properties characterization work focuses on CNT dispersions. We performed in vitro microwave dielectric properties and heating response characterization of dispersions of CNTs treated by different functionalization methods and identified a CNT formulation that is very promising as a microwave theranostic agent. Stable dispersions of CNTs with concentrations up to 20 mg/ml are obtained with this formulation, and the enhanced microwave properties of these dispersions are extraordinary compared to the control. We also conducted in vivo dielectric properties characterization of mouse tumors with intra-tumoral injections of CNT dispersions and confirmed that the presence of CNTs increases the dielectric properties of the tumor. In parallel, we developed a contrast-enhanced microwave breast tumor imaging algorithm using sparse reconstruction methods. We demonstrated that this algorithm accurately localizes small tumors in 3D numerical breast phantoms. We also demonstrated the experimental feasibility of this method using physical breast phantoms. Lastly, we studied the sensitivity of the distorted Born iterative method (DBIM) to initial guesses and developed a

  12. Association of Different MRI BIRADS Descriptors With Malignancy in Non Mass-Like Breast Lesions.

    Science.gov (United States)

    Gity, Masoumeh; Ghazi Moghadam, Koosha; Jalali, Amir Hossein; Shakiba, Madjid

    2014-12-01

    Several studies on the diagnostic efficacy of MRI has not real consensus for the accuracy of MRI characteristics in non mass like breast lesions, and the number of malignant lesions in different studies is insufficient. In this study we aimed to analyze the diagnostic role of MRI BIRADS features for diagnosis of malignancy in non mass like breast lesions. All patients with positive findings (BIRADS 3, 4, 5), which had either biopsy proved pathology or follow-up MRI data at least for 12 months were included in the study. Finally, 213 breasts MRI that showed non mass like enhancing lesions among our patients were assessed in study. One experienced breast radiologist who was unaware of any clinical information or the histopathologic diagnosis evaluated all images retrospectively. The morphologic parameters evaluated consisted of distribution modifiers and pattern of internal enhancement. The kinetic enhancement parameters were assessed as showing washout, plateau, or persistent patterns. In the enhancement kinetic analysis, thew most worrisome curve type in each lesion was considered for interpretation, if it was more than 2% enhancement. We have evaluated the visual findings by comparison of the signal intensity on the first and third dynamic series. Data for the study were extracted from the breast MRI database and analyzed using SPSS version 16 statistical software. Totally 188 patients had 213 non mass like lesions. Mean age of the patients was 44.9 ± 8.3 years (24-63). Totally 46 of lesions were malignant (21.6%). The most common BIRADS score was 4 (116; 54.5%). The most prevalent feature of distribution, internal enhancement and curve type were focal (59.2%), clumped (27.2%) and washout (34.3%). Distribution of different subgroups of MR BIRADS features was different among benign and malignant lesions (All Pvalues BIRADS (4,5) for diagnosis of malignancy was 100%. Specificity of segmental or ductal linear distribution in diagnosis of malignancy was 81

  13. Multiple Biomarker Panels for Early Detection of Breast Cancer in Peripheral Blood

    Directory of Open Access Journals (Sweden)

    Fan Zhang

    2013-01-01

    Full Text Available Detecting breast cancer at early stages can be challenging. Traditional mammography and tissue microarray that have been studied for early breast cancer detection and prediction have many drawbacks. Therefore, there is a need for more reliable diagnostic tools for early detection of breast cancer due to a number of factors and challenges. In the paper, we presented a five-marker panel approach based on SVM for early detection of breast cancer in peripheral blood and show how to use SVM to model the classification and prediction problem of early detection of breast cancer in peripheral blood. We found that the five-marker panel can improve the prediction performance (area under curve in the testing data set from 0.5826 to 0.7879. Further pathway analysis showed that the top four five-marker panels are associated with signaling, steroid hormones, metabolism, immune system, and hemostasis, which are consistent with previous findings. Our prediction model can serve as a general model for multibiomarker panel discovery in early detection of other cancers.

  14. Breast Cancer Detection by B7-H3-Targeted Ultrasound Molecular Imaging.

    Science.gov (United States)

    Bachawal, Sunitha V; Jensen, Kristin C; Wilson, Katheryne E; Tian, Lu; Lutz, Amelie M; Willmann, Jürgen K

    2015-06-15

    Ultrasound complements mammography as an imaging modality for breast cancer detection, especially in patients with dense breast tissue, but its utility is limited by low diagnostic accuracy. One emerging molecular tool to address this limitation involves contrast-enhanced ultrasound using microbubbles targeted to molecular signatures on tumor neovasculature. In this study, we illustrate how tumor vascular expression of B7-H3 (CD276), a member of the B7 family of ligands for T-cell coregulatory receptors, can be incorporated into an ultrasound method that can distinguish normal, benign, precursor, and malignant breast pathologies for diagnostic purposes. Through an IHC analysis of 248 human breast specimens, we found that vascular expression of B7-H3 was selectively and significantly higher in breast cancer tissues. B7-H3 immunostaining on blood vessels distinguished benign/precursors from malignant lesions with high diagnostic accuracy in human specimens. In a transgenic mouse model of cancer, the B7-H3-targeted ultrasound imaging signal was increased significantly in breast cancer tissues and highly correlated with ex vivo expression levels of B7-H3 on quantitative immunofluorescence. Our findings offer a preclinical proof of concept for the use of B7-H3-targeted ultrasound molecular imaging as a tool to improve the diagnostic accuracy of breast cancer detection in patients.

  15. Breast Cancer Detection by B7-H3 Targeted Ultrasound Molecular Imaging

    Science.gov (United States)

    Bachawal, Sunitha V.; Jensen, Kristin C.; Wilson, Katheryne E.; Tian, Lu; Lutz, Amelie M.; Willmann, Jürgen K.

    2015-01-01

    Ultrasound complements mammography as an imaging modality for breast cancer detection, especially in patients with dense breast tissue, but its utility is limited by low diagnostic accuracy. One emerging molecular tool to address this limitation involves contrast-enhanced ultrasound using microbubbles targeted to molecular signatures on tumor neovasculature. In this study, we illustrate how tumor vascular expression of B7-H3 (CD276), a member of the B7 family of ligands for T cell co-regulatory receptors, can be incorporated into an ultrasound method that can distinguish normal, benign, precursor and malignant breast pathologies for diagnostic purposes. Through an immunohistochemical analysis of 248 human breast specimens, we found that vascular expression of B7-H3 was selectively and significantly higher in breast cancer tissues. B7-H3 immunostaining on blood vessels distinguished benign/precursors from malignant lesions with high diagnostic accuracy in human specimens. In a transgenic mouse model of cancer, the B7-H3-targeted ultrasound imaging signal was increased significantly in breast cancer tissues and highly correlated with ex vivo expression levels of B7-H3 on quantitative immunofluorescence. Our findings offer a preclinical proof of concept for the use of B7-H3-targeted ultrasound molecular imaging as a tool to improve the diagnostic accuracy of breast cancer detection in patients. PMID:25899053

  16. Identification of occult breast lesions detected by magnetic resonance imaging with targeted ultrasound: A prospective study

    Energy Technology Data Exchange (ETDEWEB)

    Aracava, Márcia M., E-mail: marcia.aracava@gmail.com; Chojniak, Rubens, E-mail: chojniak@uol.com.br; Souza, Juliana A., E-mail: julianaalves79@hotmail.com; Bitencourt, Almir G.V., E-mail: almirgvb@yahoo.com.br; Marques, Elvira F., E-mail: elvira.marques@ig.com.br

    2014-03-15

    Objective: To verify the capacity of targeted ultrasound (US) to identify additional lesions detected on breast magnetic resonance imaging (MRI), but occult to initial mammography, US and clinical examinations. Methods: This prospective study included 68 additional relevant breast lesions identified on MRI of 49 patients. As an inclusion criterion, breast US and mammography were required and performed up to six months before MRI. These lesions were then subjected to targeted “second-look” US up to 2 weeks after MRI, performed by one or two radiologists with expertise on breast imaging. Lesions were evaluated according to the established Breast Imaging Report and Data System (BI-RADS) lexicon. Results: Targeted US identified 46/68 (67.6%) lesions revealed by MRI. No significant associations were observed between US identification and the type of lesion, dimensions, morphological characteristics and enhancement pattern according to MRI findings. Targeted US identified 100% of BI-RADS category 5 lesions, 90% of category 4 lesions, and just over 50% of category 3 lesions (p < 0.05). There was significant agreement (p < 0.001) between MRI and US BI-RADS classification for all three categories. Conclusion: Targeted US can identify a large proportion of the lesions detected by breast MRI, especially those at high risk of malignancy, when performed by a professional with experience in both breast US and MRI.

  17. Ultrananocrystalline Diamond Membranes for Detection of High-Mass Proteins

    Science.gov (United States)

    Kim, H.; Park, J.; Aksamija, Z.; Arbulu, M.; Blick, R. H.

    2016-12-01

    Mechanical resonators realized on the nanoscale by now offer applications in mass sensing of biomolecules with extraordinary sensitivity. The general idea is that perfect mechanical mass sensors should be of extremely small size to achieve zepto- or yoctogram sensitivity in weighing single molecules similar to a classical scale. However, the small effective size and long response time for weighing biomolecules with a cantilever restricts their usefulness as a high-throughput method. Commercial mass spectrometry (MS), on the other hand, such as electrospray ionization and matrix-assisted laser desorption and ionization (MALDI) time of flight (TOF) and their charge-amplifying detectors are the gold standards to which nanomechanical resonators have to live up to. These two methods rely on the ionization and acceleration of biomolecules and the following ion detection after a mass selection step, such as TOF. The principle we describe here for ion detection is based on the conversion of kinetic energy of the biomolecules into thermal excitation of chemical vapor deposition diamond nanomembranes via phonons followed by phonon-mediated detection via field emission of thermally emitted electrons. We fabricate ultrathin diamond membranes with large lateral dimensions for MALDI TOF MS of high-mass proteins. These diamond membranes are realized by straightforward etching methods based on semiconductor processing. With a minimal thickness of 100 nm and cross sections of up to 400 ×400 μ m2 , the membranes offer extreme aspect ratios. Ion detection is demonstrated in MALDI TOF analysis over a broad range from insulin to albumin. The resulting data in detection show much enhanced resolution as compared to existing detectors, which can offer better sensitivity and overall performance in resolving protein masses.

  18. Body mass index, PAM50 subtype, recurrence, and survival among patients with nonmetastatic breast cancer.

    Science.gov (United States)

    Cespedes Feliciano, Elizabeth M; Kwan, Marilyn L; Kushi, Lawrence H; Chen, Wendy Y; Weltzien, Erin K; Castillo, Adrienne L; Sweeney, Carol; Bernard, Philip S; Caan, Bette J

    2017-07-01

    Studies of obesity and survival among patients with breast cancer produce conflicting results, possibly because of heterogeneity by molecular subtype. This study examined whether the association of body mass index (BMI) at diagnosis with breast cancer recurrence and survival varied across subtypes defined by PAM50 (Prediction Analysis of Microarray 50) gene expression. Included were 1559 Kaiser Permanente Northern California members ages 18 to 79 years who had PAM50 assays and were diagnosed with American Joint Committee on Cancer stage I through III breast cancer from 1996 to 2013. Patients reported weight and height. Cox regression models were adjusted for age, menopause, race/ethnicity, stage, and chemotherapy. Over a median of 9 years (maximum, 19 years), 378 women developed recurrent disease, and 312 died from breast cancer. Overall, BMI was not associated with breast cancer recurrence or survival when controlling for subtype (eg, the hazard ratio per 5 kg/m(2) of BMI was 1.05 [95% confidence interval, 0.95-1.15] for breast cancer-specific death). However, associations varied by subtype. Among women with luminal A cancers, those who had class II/III obesity, but not class I obesity or overweight, had worse outcomes. When women who had a BMI ≥35 kg/m(2) were compared with those who had a BMI from 18.5 to breast cancer-specific death and 1.24 (95% confidence interval, 1.00-1.54) for recurrence. There was no association within luminal B, basal-like or human epidermal growth factor over-expressing subtypes. Among patients who had accurately classified breast cancer subtypes based on gene expression, a BMI ≥35 kg/m(2) was adversely associated with outcomes only among those who had luminal A cancers. Research is needed into whether tailoring recommendations for weight management to tumor characteristics will improve outcomes. Cancer 2017;123:2535-42. © 2017 American Cancer Society. © 2017 American Cancer Society.

  19. Benign breast lesions detected by positron emission tomography-computed tomography

    Energy Technology Data Exchange (ETDEWEB)

    Benveniste, Ana P., E-mail: apbenveniste@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Yang, Wei, E-mail: wyang@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Benveniste, Marcelo F., E-mail: mfbenveniste@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Mawlawi, Osama R., E-mail: omawlawi@mdanderson.org [Department of imaging physics, The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Marom, Edith M., E-mail: emarom@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States)

    2014-06-15

    {sup 18}F-fluorodeoxyglucose positron emission computed tomography (FDG PET-CT) is widely used in the initial staging and response evaluation of patients with malignancy. This review describes a spectrum of benign breast findings incidentally detected by FDG PET-CT at staging that may be misinterpreted as malignancy. We describe the pattern of distribution and intensity of FDG uptake in a spectrum of benign breast diseases with their corresponding typical morphological imaging characteristics to help the nuclear medicine physician and/or general radiologist identify benign lesions, avoiding unnecessary breast imaging work-up and biopsies.

  20. Targeting Premalignant Lesions: Implications for Early Breast Cancer Detection and Intervention

    Science.gov (United States)

    2016-04-01

    1 AWARD NUMBER: W81XWH-14-1-0032 TITLE: Targeting Premalignant Lesions : Implications for Early Breast Cancer Detection and Intervention...2015 – 31 Mar 2016 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER W81XWH-14-1-0032 Targeting Premalignant Lesions : Implications for Early Breast...carcinoma. In this study, we aimed to identify peptides that specifically recognize premalignant lesions in the mammary tissue. To achieve this goal, we

  1. [Government actions for the early detection of breast cancer in Latin America. Future challenges].

    Science.gov (United States)

    González-Robledo, Luz María; González-Robledo, María Cecilia; Nigenda, Gustavo; López-Carrillo, Lizbeth

    2010-01-01

    Documentary research carried out in 2009 aims to document the regulatory framework and existing programs for the early detection of breast cancer in Latin America and the Caribbean in order to establish the most important challenges for the containment of the epidemic in the region. The governments of the region have developed diverse efforts and initiatives to confront the rise in mortality due to said cause, including early detection, treatment and research strategies. Despite advances in the early detection of breast cancer, the challenge remains to link efforts to ensure continuity of care (diagnostic confirmation, treatment and monitoring) in order to achieve higher efficiency, effectiveness and benefits for women with this disease.

  2. Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique

    Science.gov (United States)

    Hoffmann, Sebastian; Shutler, Jamie D.; Lobbes, Marc; Burgeth, Bernhard; Meyer-Bäse, Anke

    2013-12-01

    Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) represents an established method for the detection and diagnosis of breast lesions. While mass-like enhancing lesions can be easily categorized according to the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon, a majority of diagnostically challenging lesions, the so called non-mass-like enhancing lesions, remain both qualitatively as well as quantitatively difficult to analyze. Thus, the evaluation of kinetic and/or morphological characteristics of non-masses represents a challenging task for an automated analysis and is of crucial importance for advancing current computer-aided diagnosis (CAD) systems. Compared to the well-characterized mass-enhancing lesions, non-masses have no well-defined and blurred tumor borders and a kinetic behavior that is not easily generalizable and thus discriminative for malignant and benign non-masses. To overcome these difficulties and pave the way for novel CAD systems for non-masses, we will evaluate several kinetic and morphological descriptors separately and a novel technique, the Zernike velocity moments, to capture the joint spatio-temporal behavior of these lesions, and additionally consider the impact of non-rigid motion compensation on a correct diagnosis.

  3. Method for predicting peptide detection in mass spectrometry

    Science.gov (United States)

    Kangas, Lars [West Richland, WA; Smith, Richard D [Richland, WA; Petritis, Konstantinos [Richland, WA

    2010-07-13

    A method of predicting whether a peptide present in a biological sample will be detected by analysis with a mass spectrometer. The method uses at least one mass spectrometer to perform repeated analysis of a sample containing peptides from proteins with known amino acids. The method then generates a data set of peptides identified as contained within the sample by the repeated analysis. The method then calculates the probability that a specific peptide in the data set was detected in the repeated analysis. The method then creates a plurality of vectors, where each vector has a plurality of dimensions, and each dimension represents a property of one or more of the amino acids present in each peptide and adjacent peptides in the data set. Using these vectors, the method then generates an algorithm from the plurality of vectors and the calculated probabilities that specific peptides in the data set were detected in the repeated analysis. The algorithm is thus capable of calculating the probability that a hypothetical peptide represented as a vector will be detected by a mass spectrometry based proteomic platform, given that the peptide is present in a sample introduced into a mass spectrometer.

  4. [Occult breast cancer. Detection and radioguided surgery with 99mTc-MIBI].

    Science.gov (United States)

    Barberá, L; Illanes, L; Terrier, F; Dopta, G

    2003-01-01

    We include those patients who present with an isolated metastasis of axillary adenopathy in the occult primary breast cancer group. Presumably, the primary tumor is a primitive breast carcinoma, unsuspected until this moment and not clinically demonstrable by mammography or ultrasonography. When no method succeeds in confirming the primary breast lesion, the patients are usually treated assuming the existing of breast cancer. Several diagnostic methods have been used to find the primary breast lesion. Magnetic Resonance imaging (MRI), Positron Emission (PET) and Doppler sonography have been used in this way and several papers present the results reached with them. Our group incorporates detection and radioguided surgery with 99mTechnetium (99mTc) methoxyisobutil isonitrile into the study of these patients. We perform a planar scintimammography and SPECT (Single Photon Emission Computed Tomography) with 99mTc-MIBI. If the radioisotopic method shows a functional image compatible with a carcinoma, a gamma detecting probe is then used to locate the lesion and guide its surgical removal. In this paper, we present the application of the technique in 5 cases and describe the technique and its possibilities. Its advantages are explained in comparison with other methods. The dosimetric values found in the performance of the technique are reported. We consider that detection and radioguided surgery with 99mTc-MIBI in the diagnosis and treatment of occult breast cancer adds an effective tool and means progress in the approach to this disease.

  5. Detection and capture of breast cancer cells with photoacoustic flow cytometry

    Science.gov (United States)

    Bhattacharyya, Kiran; Goldschmidt, Benjamin S.; Viator, John A.

    2016-08-01

    According to the Centers for Disease Control and Prevention, breast cancer is the most common cancer and the second leading cause of cancer related deaths among women. Metastasis-the presence of secondary tumors caused by the spread of cancer cells via the circulatory or lymphatic systems-significantly worsens the prognosis of any breast cancer patient. A technique is developed to detect circulating breast cancer cells in human blood using a photoacoustic flow cytometry method. A Q-switched laser is used to interrogate thousands of blood cells with one pulse as they flow through the beam path. Cells that are optically absorbing, either naturally or artificially, emit an ultrasound wave as a result of the photoacoustic (PA) effect. Breast cancer cells are targeted with chromophores through immunochemistry in order to enhance optical absorption. After which, the PA cytometry device is calibrated to demonstrate the ability to detect single cells. Cultured breast cancer cells are added to whole blood to reach a biologically relevant concentration of about 25 to 45 breast cancer cells per 1 mL of blood. An in vitro PA flow cytometer is used to detect and isolate these cells followed by capture with the use of a micromanipulator. This method can not only be used to determine the disease state of the patient and the response to therapy but also it can be used for genetic testing and in vitro drug trials since the circulating cell can be captured and studied.

  6. Detection, isolation, and capture of circulating breast cancer cells with photoacoustic flow cytometry

    Science.gov (United States)

    Bhattacharyya, Kiran; Njoroge, Martin; Goldschmidt, Benjamin S.; Gaffigan, Brian; Rood, Kyle; Viator, John A.

    2013-03-01

    According to the CDC, breast cancer is the most common cancer and the second leading cause of cancer related deaths among women. Metastasis, or the presence of secondary tumors caused by the spread of cancer cells via the circulatory or lymphatic systems, significantly worsens the prognosis of any breast cancer patient. In this study, a technique is developed to detect circulating breast cancer cells in human blood using a photoacoustic flow cytometry method. A Q-switched laser with a 5 ns pulse at 532 nm is used to interrogate thousands of cells with one pulse as they flow through the beam path. Cells which are pigmented, either naturally or artificially, emit an ultrasound wave as a result of the photoacoustic (PA) effect. Breast cancer cells are targeted with chromophores through immunochemistry in order to provide pigment. After which, the device is calibrated to demonstrate a single-cell detection limit. Cultured breast cancer cells are added to whole blood to reach a biologically relevant concentration of about 25-45 breast cancer cells per 1 mL of blood. An in vitro photoacoustic flow cytometer is used to detect and isolate these cells followed by capture with the use of a micromanipulator. This method can not only be used to determine the disease state of the patient and the response to therapy, it can also be used for genetic testing and in vitro drug trials since the circulating cell can be captured and studied.

  7. Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS)

    Science.gov (United States)

    Javanshir Moghaddam, Mandana; Tan, Tao; Karssemeijer, Nico; Platel, Bram

    2014-03-01

    Recent studies have demonstrated that applying Automated Breast Ultrasound in addition to mammography in women with dense breasts can lead to additional detection of small, early stage breast cancers which are occult in corresponding mammograms. In this paper, we proposed a fully automatic method for detecting the nipple location in 3D ultrasound breast images acquired from Automated Breast Ultrasound Systems. The nipple location is a valuable landmark to report the position of possible abnormalities in a breast or to guide image registration. To detect the nipple location, all images were normalized. Subsequently, features have been extracted in a multi scale approach and classification experiments were performed using a gentle boost classifier to identify the nipple location. The method was applied on a dataset of 100 patients with 294 different 3D ultrasound views from Siemens and U-systems acquisition systems. Our database is a representative sample of cases obtained in clinical practice by four medical centers. The automatic method could accurately locate the nipple in 90% of AP (Anterior-Posterior) views and in 79% of the other views.

  8. Digital breast tomosynthesis (DBT) to characterize MRI-detected additional lesions unidentified at targeted ultrasound in newly diagnosed breast cancer patients

    Energy Technology Data Exchange (ETDEWEB)

    Mariscotti, Giovanna; Durando, Manuela; Regini, Elisa; Fornari, Alberto; Fonio, Paolo; Gandini, Giovanni [Breast Imaging Service, Radiology - University of Turin, Department of Diagnostic Imaging and Radiotherapy, A.O.U. Citta della Salute e della Scienza, Torino (Italy); Houssami, Nehmat [University of Sydney, Screening and Test Evaluation Program, School of Public Health, Sydney Medical School, Sydney, NSW (Australia); Campanino, Pier Paolo [Ospedale Koelliker, Breast Imaging Service, Torino (Italy); Bussone, Riccardo [A.O.U. Citta della Salute e della Scienza of Turin, SSCVD Breast Surgery. Department of Surgery, Torino (Italy); Castellano, Isabella; Sapino, Anna [University of Turin, Department of Biomedical Sciences and Human Oncology, A.O.U. Citta della Salute e della Scienza, Torino (Italy)

    2015-09-15

    Preoperative breast magnetic resonance (MR) often generates additional suspicious findings needing further investigations. Targeted breast ultrasound (US) is the standard tool to characterize MR additional lesions. The purpose of this study is to evaluate the potential role of digital breast tomosynthesis (DBT) to characterize MR detected additional findings, unidentified at targeted breast US. This prospective study included women who a) had biopsy-proven, newly diagnosed breast cancers detected at conventional 2D mammography and/or US, referred to breast MR for tumour staging; and b) had DBT if additional MR findings were not detected at targeted ('second look') US. In 520 patients, MR identified 164 (in 114 women, 22 %) additional enhancing lesions. Targeted US identified 114/164 (69.5 %) of these, whereas 50/164 (30.5 %) remained unidentified. DBT identified 32/50 of these cases, increasing the overall characterization of MR detected additional findings to 89.0 % (146/164). Using DBT the identified lesions were significantly more likely to be malignant than benign MR-detected additional lesions (p = 0.04). DBT improves the characterization of additional MR findings not identified at targeted breast US in preoperative breast cancer staging. (orig.)

  9. A suspicious breast lesion detected by dynamic contrast-enhanced MRI and pathologically confirmed as capillary hemangioma: A case report and literature review

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Lian He; Li, Qing Chang; Xu, Hong Tao; Wang, Xin; Wang, En Hua [The First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang (China); Ma, Shuang [Dept. of Neurology, Sheng Jing Hospital of China Medical University, Shenyang (China)

    2013-12-15

    Breast capillary hemangioma is a type of benign vascular tumor which is rarely seen. Little is known about its presentation on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Here, we describe a case of suspicious breast lesion detected by DCE-MRI and pathologically confirmed as capillary hemangioma. Our case indicates that a small mass with a superficial location, clear boundary, and homogeneous enhancement on DCE-MRI indicates the possible diagnosis of hemangioma, whereby even the lesion presents a washout type curve.

  10. Mitosis detection in breast cancer histology images with deep neural networks.

    Science.gov (United States)

    Cireşan, Dan C; Giusti, Alessandro; Gambardella, Luca M; Schmidhuber, Jürgen

    2013-01-01

    We use deep max-pooling convolutional neural networks to detect mitosis in breast histology images. The networks are trained to classify each pixel in the images, using as context a patch centered on the pixel. Simple postprocessing is then applied to the network output. Our approach won the ICPR 2012 mitosis detection competition, outperforming other contestants by a significant margin.

  11. Intracranial Leptomeningeal Carcinomatosis from Breast Cancer Detected on 18F-FDG PET.

    Science.gov (United States)

    Carra, Bradley J; Clemenshaw, Michael N

    2015-09-01

    Leptomeningeal carcinomatosis is an uncommon manifestation of non-central nervous system (CNS) metastatic disease. Diagnosis, however, has important prognostic and treatment implications. We present a case in which intracranial leptomeningeal carcinomatosis from a primary breast cancer was detected with (18)F-FDG PET/CT, despite its low sensitivity for detection of CNS metastases from non-CNS primary tumors.

  12. Weight, height, body mass index and risk of breast cancer in postmenopausal women: a case-control study

    Directory of Open Access Journals (Sweden)

    Vahdaninia Mariam

    2008-09-01

    Full Text Available Abstract Background Many women in Iran have a relatively high body mass index. To investigate whether the condition contributes to excess breast cancer cases, a case-control study was conducted to assess the relationships between anthropometric variables and breast cancer risk in Tehran, Iran. Methods All incident cases of breast cancer in the Iranian Centre for Breast Cancer (ICBC were identified through the case records. Eligible cases were all postmenopausal women with histological confirmed diagnosis of breast cancer during 1996 to year 2000. Controls were randomly selected postmenopausal women attending the ICBC for clinical breast examination during the same period. The body mass index (BMI was calculated based on weights and heights as measured by the ICBC nursing staff. Both tests for trend and logistic regression analysis were performed to calculate odds ratios and 95% confidence intervals as measures of relative risk. Results In all, 116 breast cancer cases and 116 controls were studied. There were no significant differences between cases and control with regard to most independent variables studied. However, a significant difference was observed between cases and controls indicating that the mean BMI was higher in cases as compared to controls (P = 0.004. Performing logistic regression analysis while controlling for age, age at menopause, family history of breast cancer and parity, the results showed that women with a BMI in the obese range had a three fold increased risk of breast cancer [odds ratio (OR = 3.21, 95% confidence interval (CI: 1.15–8.47]. Conclusion The results suggest that obesity in postmenopausal women could increase risk of breast cancer and it merits further investigation in populations such as Iran where it seems that many women are short in height, and have a relatively high body mass index.

  13. Nonlinear mechanical resonators for ultra-sensitive mass detection

    Energy Technology Data Exchange (ETDEWEB)

    Datskos, Panos G [ORNL; Lavrik, Nickolay V [ORNL

    2014-01-01

    The fundamental sensitivity limit of an appropriately scaled down mechanical resonator can approach one atomic mass unit when only thermal noise is present in the system. However, operation of such nanoscale mechanical resonators is very challenging due to minuteness of their oscillation amplitudes and presence of multiple noise sources in real experimental environments. In order to surmount these challenges, we use microscale cantilever resonators driven to large amplitudes, far beyond their nonlinear instability onset. Our experiments show that such a nonlinear cantilever resonator, described analytically as a Duffing oscillator, has mass sensing performance comparable to that of much smaller resonators operating in a linear regime. We demonstrate femtogram level mass sensing that relies on a bifurcation point tracking that does not require any complex readout means. Our approaches enable straightforward detection of mass changes that are near the fundamental limit imposed by thermo-mechanical fluctuations.

  14. Breast cancer screening

    Science.gov (United States)

    Mammogram - breast cancer screening; Breast exam - breast cancer screening; MRI - breast cancer screening ... performed to screen women to detect early breast cancer when it is more likely to be cured. ...

  15. A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research

    Science.gov (United States)

    Santra, Tapesh; Delatola, Eleni Ioanna

    2016-07-01

    Presence of considerable noise and missing data points make analysis of mass-spectrometry (MS) based proteomic data a challenging task. The missing values in MS data are caused by the inability of MS machines to reliably detect proteins whose abundances fall below the detection limit. We developed a Bayesian algorithm that exploits this knowledge and uses missing data points as a complementary source of information to the observed protein intensities in order to find differentially expressed proteins by analysing MS based proteomic data. We compared its accuracy with many other methods using several simulated datasets. It consistently outperformed other methods. We then used it to analyse proteomic screens of a breast cancer (BC) patient cohort. It revealed large differences between the proteomic landscapes of triple negative and Luminal A, which are the most and least aggressive types of BC. Unexpectedly, majority of these differences could be attributed to the direct transcriptional activity of only seven transcription factors some of which are known to be inactive in triple negative BC. We also identified two new proteins which significantly correlated with the survival of BC patients, and therefore may have potential diagnostic/prognostic values.

  16. The Relationship Between Breast Feeding and Body Mass Index and Blood Pressure in Pre-School Children

    Directory of Open Access Journals (Sweden)

    Mostafa Behjati-Ardakani

    2012-07-01

    Full Text Available Introduction: It is generally accepted that breast feeding has a beneficial effect on the health of infants and children. The evidence that breast feeding protects against obesity is inconclusive also the influence of breast feeding on blood pressure in later life is uncertain. The major aim of this study was to assess the association between method of infant breast feeding and components of the body mass index and blood pressure in pre-school children. Materials & Methods: In a cohort study, a total of 800 pre-school children, 359 (47.2% males, and 402 (52.8% females, born in 2003 in Yazd, Iran were selected based on a systematic stratified random model. Of eight hundred questionnaires sent, 761 (95% were returned to the investigators. At 6 years, blood pressure was measured on the right arm at rest. Body mass index (BMI was calculated by dividing the weight in kilograms by the square of height in meters (kg/m2.Data on infants feeding were collected respectively during first two years of life .Data were managed and analyzed using SPSS (SPSS, Inc, version 13.0 Results: Of the 761 subjects included in this study, 452 (59.4% were exclusively breast fed, 136 (17.9% were bottle fed and 173 (22.7% were partially breast fed. Body mass index was not significantly different between bottle feeding, partial and exclusive breast feeding groups (P=0.398 ..No relationship was found between method and duration of breast feeding, and systolic blood pressure (P=0.244, diastolic blood pressure (P=0.781 and mean blood pressure (P=0.483. Conclusion: We did not find association between method of infant feeding, duration of breast feeding and systolic, diastolic mean blood pressures and also with body mass index

  17. Circulating microRNAs as specific biomarkers for breast cancer detection.

    Directory of Open Access Journals (Sweden)

    Enders K O Ng

    Full Text Available BACKGROUND: We previously showed microRNAs (miRNAs in plasma are potential biomarkers for colorectal cancer detection. Here, we aimed to develop specific blood-based miRNA assay for breast cancer detection. METHODOLOGY/PRINCIPAL FINDINGS: TaqMan-based miRNA profiling was performed in tumor, adjacent non-tumor, corresponding plasma from breast cancer patients, and plasma from matched healthy controls. All putative markers identified were verified in a training set of breast cancer patients. Selected markers were validated in a case-control cohort of 170 breast cancer patients, 100 controls, and 95 other types of cancers and then blindly validated in an independent set of 70 breast cancer patients and 50 healthy controls. Profiling results showed 8 miRNAs were concordantly up-regulated and 1 miRNA was concordantly down-regulated in both plasma and tumor tissue of breast cancer patients. Of the 8 up-regulated miRNAs, only 3 were significantly elevated (p<0.0001 before surgery and reduced after surgery in the training set. Results from the validation cohort showed that a combination of miR-145 and miR-451 was the best biomarker (p<0.0001 in discriminating breast cancer from healthy controls and all other types of cancers. In the blind validation, these plasma markers yielded Receiver Operating Characteristic (ROC curve area of 0.931. The positive predictive value was 88% and the negative predictive value was 92%. Altered levels of these miRNAs in plasma have been detected not only in advanced stages but also early stages of tumors. The positive predictive value for ductal carcinoma in situ (DCIS cases was 96%. CONCLUSIONS: These results suggested that these circulating miRNAs could be a potential specific biomarker for breast cancer screening.

  18. Serum/plasma DNA methylation pattern and early detection of breast cancer

    Directory of Open Access Journals (Sweden)

    Arootin Gharibiyan

    2015-01-01

    Full Text Available Breast cancer is the most common cancer among women. With its fatality rate reduced significantly if diagnosed early, developing cost-effective, noninvasive methods of early detection is highly investigated. Currently, mammography with magnetic resonance imaging is considered the optimal method of early detection in women who are at a significantly raised risk of developing breast cancer. Due to environmental effects and life-style changes in recent years, elevation of the risk of cancer incidents in lower risk populations is observed and therefore, the development of a relatively easy-performed and low-cost method for early detection of cancer in general and breast cancer in particular is needed. Serum-based analysis techniques have been quite popular subject of research recently as they can be performed with low technical knowledge, become automated and are cheap. In the present article, we have reviewed the literature related to the use of DNA methylation-detection based techniques for diagnosis of early-stage breast cancer using serum or plasma circulating tumor DNA and their power as a future biomarker. A reference to all genes that is reported to be differentially methylated in breast cancer accompanies the article.

  19. Understanding a Breast Cancer Diagnosis

    Science.gov (United States)

    ... Cancer A-Z Breast Cancer Understanding a Breast Cancer Diagnosis If you’ve been diagnosed with breast cancer, ... Prevention Early Detection and Diagnosis Understanding a Breast Cancer Diagnosis Treatment Breast Reconstruction Surgery Living as a Breast ...

  20. Indirect-detection single-photon-counting x-ray detector for breast tomosynthesis

    Science.gov (United States)

    Jiang, Hao; Kaercher, Joerg; Durst, Roger

    2016-03-01

    X-ray mammography is a crucial screening tool for early identification of breast cancer. However, the overlap of anatomical features present in projection images often complicates the task of correctly identifying suspicious masses. As a result, there has been increasing interest in acquisition of volumetric information through digital breast tomosynthesis (DBT) which, compared to mammography, offers the advantage of depth information. Since DBT requires acquisition of many projection images, it is desirable that the noise in each projection image be dominated by the statistical noise of the incident x-ray quanta and not by the additive noise of the imaging system (referred to as quantum-limited imaging) and that the cumulative dose be as low as possible (e.g., no more than for a mammogram). Unfortunately, the electronic noise (~2000 electrons) present in current DBT systems based on active matrix, flat-panel imagers (AMFPIs) is still relatively high compared with modest x-ray gain of the a-Se and CsI:Tl x-ray converters often used. To overcome the modest signal-to-noise ratio (SNR) limitations of current DBT systems, we have developed a large-area x-ray imaging detector with the combination of an extremely low noise (~20 electrons) active-pixel CMOS and a specially designed high resolution scintillator. The high sensitivity and low noise of such system provides better SNR by at least an order of magnitude than current state-of-art AMFPI systems and enables x-ray indirect-detection single photon counting (SPC) at mammographic energies with the potential of dose reduction.

  1. The evolving role of the dynamic thermal analysis in the early detection of breast cancer

    Science.gov (United States)

    Salhab, M; Al Sarakbi, W; Mokbel, K

    2005-01-01

    It is now recognised that the breast exhibits a circadian rhythm which reflects its physiology. There is increasing evidence that rhythms associated with malignant cells proliferation are largely non-circadian and that a circadian to ultradian shift may be a general correlation to neoplasia. Cancer development appears to generate its own thermal signatures and the complexity of these signatures may be a reflection of its degree of development. The limitations of mammography as a screening modality especially in young women with dense breasts necessitated the development of novel and more effective screening strategies with a high sensitivity and specificity. Dynamic thermal analysis of the breast is a safe, non invasive approach that seems to be sensitive for the early detection of breast cancer. This article focuses on dynamic thermal analysis as an evolving method in breast cancer detection in pre-menopausal women with dense breast tissue. Prospective multi-centre trials are required to validate this promising modality in screening. The issue of false positives require further investigation using molecular genetic markers of malignancy and novel techniques such as mammary ductoscopy. PMID:15819982

  2. ASSESSMENT OF THE BREAST MASSES WITH DIAGNOSTIC MAMMOGRAPHY AND FNAC CORRELATION

    Directory of Open Access Journals (Sweden)

    Varsha

    2016-06-01

    Full Text Available OBJECTIVES Diagnostic mammography is the basic imaging study employed to evaluate breast abnormalities. Our objective was to assess the role of diagnostic mammography in characterizing the breast lumps in correlation with cytopathology. STUDY DESIGN This prospective study of 63 patients of breast lumps and related complaints in the age group of 18-65 years, was done over a period of two years. Two standard radiological views Craniocaudal (CC and Mediolateral Oblique (MLO were taken. Additional views and ultrasound was done as and when required. Reporting of mammograms was done using standard ACR BIRADS 4th edition (2003 Lexicon followed by cytopathological correlation. RESULTS In 63 patients with 70 lesions, 44 were proved cytopathological benign and 19 were malignant; 3 male patients were also included. Lump was the commonest presenting complaint. Left breast and superolateral quadrant with the axillary tail region was more frequently affected. Infiltrating ductal Ca (17.14% was commonest malignant lesion and fibroadenoma the commonest benign lesion (30%; 21 patients were categorized in BIRADS 3, 19 in BIRADS 1, 6 in BIRADS 2, 12 in BIRADS 4 and 5 in BIRADS 5 categories. In BIRADS 1, 2, 3 which were benign category, 43 were true negative, but 3 patients were pathologically malignant and hence false negative. Similarly, out of 17 malignant cases in BIRADS 4 and 5, 1 was false positive and 16 proved to be true positive. The statistical analysis was done and parameters calculated. CONCLUSION Diagnostic mammography is highly sensitive and accurate in detection and characterization of breast lumps, especially the malignant and the ACR-BIRADS lexicon proved useful in uniform mammography reporting and consistency in lesion classification.

  3. Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses

    NARCIS (Netherlands)

    Hupse, R.; Samulski, M.; Lobbes, M.; Heeten, A. den; Imhof-Tas, M.W.; Beijerinck, D.; Pijnappel, R.; Hitge-Boetes, C.; Karssemeijer, N.

    2013-01-01

    OBJECTIVES: We developed a computer-aided detection (CAD) system aimed at decision support for detection of malignant masses and architectural distortions in mammograms. The effect of this system on radiologists' performance depends strongly on its standalone performance. The purpose of this study

  4. Sensitive detection of major food allergens in breast milk: first gateway for allergenic contact during breastfeeding.

    Science.gov (United States)

    Pastor-Vargas, C; Maroto, A S; Díaz-Perales, A; Villaba, M; Casillas Diaz, N; Vivanco, F; Cuesta-Herranz, J

    2015-08-01

    Food allergy is recognized as a major public health issue, especially in early childhood. It has been hypothesized that early sensitization to food allergens maybe due to their ingestion as components dissolved in the milk during the breastfeeding, explaining reaction to a food, which has never been taken before. Thus, the aim of this work has been to detect the presence of the food allergens in breast milk by microarray technology. We produced a homemade microarray with antibodies produced against major food allergens. The antibody microarray was incubated with breast milk from 14 women collected from Fundación Jiménez Díaz Hospital. In this way, we demonstrated the presence of major foods allergens in breast milk. The analysis of allergens presented in breast milk could be a useful tool in allergy prevention and could provide us a key data on the role of this feeding in tolerance induction or sensitization in children.

  5. Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification

    CERN Document Server

    Bouaynaya, Nidhal; Schonfeld, Dan

    2009-01-01

    We propose a new model-based computer-aided diagnosis (CAD) system for tumor detection and classification (cancerous v.s. benign) in breast images. Specifically, we show that (x-ray, ultrasound and MRI) images can be accurately modeled by two-dimensional autoregressive-moving average (ARMA) random fields. We derive a two-stage Yule-Walker Least-Squares estimates of the model parameters, which are subsequently used as the basis for statistical inference and biophysical interpretation of the breast image. We use a k-means classifier to segment the breast image into three regions: healthy tissue, benign tumor, and cancerous tumor. Our simulation results on ultrasound breast images illustrate the power of the proposed approach.

  6. The Breast and Cervical Cancer Early Detection Program, Medicaid, and breast cancer outcomes among Ohio's underserved women.

    Science.gov (United States)

    Koroukian, Siran M; Bakaki, Paul M; Htoo, Phyo Than; Han, Xiaozhen; Schluchter, Mark; Owusu, Cynthia; Cooper, Gregory S; Rose, Johnie; Flocke, Susan A

    2017-08-15

    As an organized screening program, the national Breast and Cervical Cancer Early Detection Program (BCCEDP) was launched in the early 1990s to improve breast cancer outcomes among underserved women. To analyze the impact of the BCCEDP on breast cancer outcomes in Ohio, this study compared cancer stages and mortality across BCCEDP participants, Medicaid beneficiaries, and "all others." This study linked data across the Ohio Cancer Incidence Surveillance System, Medicaid, the BCCEDP database, death certificates, and the US Census and identified 26,426 women aged 40 to 64 years who had been diagnosed with incident invasive breast cancer during the years 2002-2008 (deaths through 2010). The study groups were as follows: BCCEDP participants (1-time or repeat users), Medicaid beneficiaries (women enrolled in Medicaid before their cancer diagnosis [Medicaid/prediagnosis] or around the time of their cancer diagnosis [Medicaid/peridiagnosis]), and all others (women identified as neither BCCEDP participants nor Medicaid beneficiaries). The outcomes included advanced-stage cancer at diagnosis and mortality. A multivariable logistic and survival analysis was conducted to examine the independent association between the BCCEDP and Medicaid status and the outcomes. The percentage of women presenting with advanced-stage disease was highest among women in the Medicaid/peridiagnosis group (63.4%) and lowest among BCCEDP repeat users (38.6%). With adjustments for potential confounders and even in comparison with Medicaid/prediagnosis beneficiaries, those in the Medicaid/peridiagnosis group were twice as likely to be diagnosed with advanced-stage disease (adjusted odds ratio, 2.20; 95% confidence interval, 1.83-2.66). Medicaid/peridiagnosis women are at particularly high risk to be diagnosed with advanced-stage disease. Efforts to reduce breast cancer disparities must target this group of women before they present to Medicaid. Cancer 2017;123:3097-106. © 2017 American Cancer Society

  7. Does the degree of background enhancement in breast MRI affect the detection and staging of breast cancer?

    Energy Technology Data Exchange (ETDEWEB)

    Uematsu, Takayoshi [Shizuoka Cancer Center Hospital, Breast Imaging and Breast Intervention Section, Shizuoka (Japan); Kasami, Masako [Shizuoka Cancer Center Hospital, Department of Pathology, Naga-izumi, Shizuoka (Japan); Watanabe, Junichiro [Shizuoka Cancer Center Hospital, Division of Medical Oncology, Naga-izumi, Shizuoka (Japan)

    2011-11-15

    The purpose of this study was to assess the influence of background enhancement on the detection and staging of breast cancer using MRI as an adjunct to mammography or ultrasound. One hundred forty-six bilateral breast MRI examinations were evaluated to assess the extent of a known primary tumour and to problem solve after mammography or ultrasound without adjusting for the phase in the patients' menstrual cycle. The background enhancement was classified into four categories by visual evaluation: minimal, mild, moderate and marked. In total, 131 histologically confirmed abnormal cases (104 malignant and 27 benign) and 15 normal cases were included in the analysis. There was no tumour size-related bias between the groups (p = 0.522). For the primary index tumour, the sensitivities of MRI with minimal/mild and moderate/marked background enhancement were 100% and 76% (p = 0.001), respectively. Thus, the degree of background enhancement did not affect the specificity. For evaluating tumour extent (n = 104), the accuracy of MRI with moderate/marked background enhancement (52%) was significantly lower than that with minimal/mild background enhancement (84%; p = 0.002). The degree of background enhancement affected the detection and staging of breast cancer using MRI. (orig.)

  8. Is there a correlation between the presence of a spiculated mass on mammogram and luminal a subtype breast cancer?

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Song; Wu, Xiao Dong; Xu, Wen Jian; Lin, Qing; Liu, Xue Jun; Li, Ying [The Affiliated Hospital of Qingdao University, Qingdao (China)

    2016-11-15

    To determine whether the appearance of a spiculated mass on a mammogram is associated with luminal A subtype breast cancer and the factors that may influence the presence or absence of the spiculated mass. Three hundred seventeen (317) patients who underwent image-guided or surgical biopsy between December 2014 and April 2015 were included in the study. Radiologists conducted retrospective assessments of the presence of spiculated masses according to the criteria of Breast Imaging Reporting and Data System. We used combinations of estrogen receptor (ER), progesterone receptor (PR), human epithelial growth factor receptor 2 (HER2), and Ki67 as surrogate markers to identify molecular subtypes of breast cancer. Pearson chi-square test was employed to measure statistical significance of correlations. Furthermore, we built a bi-variate logistic regression model to quantify the relative contribution of the factors that may influence the presence or absence of the spiculated mass. Seventy-one percent (71%) of the spiculated masses were classified as luminal A. Masses classified as luminal A were 10.3 times more likely to be presented as spiculated mass on a mammogram than all other subtypes. Patients with low Ki67 index (< 14%) and HER2 negative were most likely to present with a spiculated mass on their mammograms (p <0.001) than others. The hormone receptor status (ER and PR), pathology grade, overall breast composition, were all associated with the presence of a spiculated mass, but with less weight in contribution than Ki67 and HER2. We observed an association between the luminal A subtype of invasive breast cancer and the presence of a spiculated mass on a mammogram. It is hypothesized that lower Ki67 index and HER2 negativity may be the most significant factors in the presence of a spiculated mass.

  9. DETECTION OF MASSES IN MAMMOGRAM IMAGES USING ANT COLONY OPTIMIZATION

    Directory of Open Access Journals (Sweden)

    Varsha Patankar

    2014-04-01

    Full Text Available This paper proposes the advances in edge detection techniques, which is used for the mammogram images for cancer diagnosis. It compares the evaluation of edge detection with the proposed method ant colony optimization. The study shows that the edge detection technique is applied on the mammogram images because it will clearly identify the masses in mammogram images. This will help to identify the type of cancer at the early stage. ACO edge detector is best in detecting the edges when compared to the other edge detectors. The quality of various edge detectors is calculated based on the parameters such as Peak signal to noise ratio (PSNR and Mean square error (MSE.

  10. Mass spectrometric detection, identification, and fragmentation of arseno-phytochelatins.

    Science.gov (United States)

    Schmied-Tobies, Maria I H; Arroyo-Abad, Uriel; Mattusch, Jürgen; Reemtsma, Thorsten

    2014-11-01

    Phytochelatins (PC) are cystein-rich oligopeptides in plants for coordination with toxic metals and metalloids via their thiol groups. The composition, structure, and mass spectrometric fragmentation of arseno-PC (As-PC) with PC of different degree of oligomerization (PC2-PC5) in solution were studied using liquid chromatography coupled in parallel to inductively coupled plasma mass spectrometry and electrospray ionization quadrupole time-of-flight mass spectrometry. As-PC were detected from As(PC2) to As(PC5) with an increasing number of isomers that differ in the position of thiol groups bound to As. Thermodynamic modeling supported the identification process in case of these isomers. Mass spectrometric fragmentation of the As-PC does not follow the established pattern of peptides but is governed by the formation of series of As-containing annular cations, which coordinate to As via S, N, or O. Structure proposals for 30 As-PC fragment ions in the range m/z 147.92 to m/z 1290.18 are elaborated. Many of these fragment ions are characteristic to several As-PC and may be suited for a screening for As-PC in plant extracts. The mass spectrometric data offer the perspective for a future more sensitive determination of As-PC by means of liquid chromatography tandem mass spectrometry with multiple reaction monitoring.

  11. Characterization of benign and malignant solid breast masses: comparison of conventional US and tissue harmonic imaging.

    Science.gov (United States)

    Cha, Joo Hee; Moon, Woo Kyung; Cho, Nariya; Kim, Sun Mi; Park, Seong Ho; Han, Boo-Kyung; Choe, Yeon Hyeon; Park, Jeong Mi; Im, Jung-Gi

    2007-01-01

    To prospectively compare the diagnostic performance of radiologists by using conventional ultrasonography (US) and tissue harmonic imaging for the differentiation of benign from malignant solid breast masses, with histologic results used as the reference standard. The study was approved by the institutional review board, and informed consent was obtained from all patients. Images were obtained with conventional US and tissue harmonic imaging in 88 patients (age range, 25-67 years; mean age, 45 years) with 91 solid breast masses (30 cancers and 61 benign lesions) before excisional or needle biopsy. Three experienced radiologists, who did not perform the examinations, independently analyzed the US findings and provided a level of suspicion to indicate the probability of malignancy. Results were evaluated by using kappa statistics and receiver operating characteristic (ROC) analyses. Regarding the descriptions of US findings, echogenicity (kappa=0.205) was the most discordant between conventional US and tissue harmonic imaging, followed by margin (kappa=0.495), lesion boundary (kappa=0.495), calcifications (kappa=0.537), posterior acoustic transmission (kappa=0.546), echotexture (kappa=0.586), shape (kappa=0.591), and orientation (kappa=0.594). The area under the ROC curve (Az) for conventional US and tissue harmonic imaging was 0.84 and 0.79, respectively, for reader 1; 0.88 and 0.85, respectively, for reader 2; and 0.91 and 0.89, respectively, for reader 3. The overall Az value for the three readers was 0.88 for conventional US and 0.84 for tissue harmonic imaging (95% confidence interval: -0.0950, 0.1646; P=.595). The performance of the radiologists with respect to the characterization of solid breast masses as benign or malignant was not significantly improved with tissue harmonic imaging. Copyright (c) RSNA, 2006.

  12. Associations of breast-feeding patterns and introduction of solid foods with childhood bone mass: The Generation R Study.

    Science.gov (United States)

    van den Hooven, Edith H; Gharsalli, Mounira; Heppe, Denise H M; Raat, Hein; Hofman, Albert; Franco, Oscar H; Rivadeneira, Fernando; Jaddoe, Vincent W V

    2016-03-28

    Breast-feeding has been associated with later bone health, but results from previous studies are inconsistent. We examined the associations of breast-feeding patterns and timing of introduction of solids with bone mass at the age of 6 years in a prospective cohort study among 4919 children. We collected information about duration and exclusiveness of breast-feeding and timing of introduction of any solids with postnatal questionnaires. A total body dual-energy X-ray absorptiometry scan was performed at 6 years of age, and bone mineral density (BMD), bone mineral content (BMC), area-adjusted BMC (aBMC) and bone area (BA) were analysed. Compared with children who were ever breast-fed, those never breast-fed had lower BMD (-4·62 mg/cm2; 95 % CI -8·28, -0·97), BMC (-8·08 g; 95 % CI -12·45, -3·71) and BA (-7·03 cm2; 95 % CI -12·55, -1·52) at 6 years of age. Among all breast-fed children, those who were breast-fed non-exclusively in the first 4 months had higher BMD (2·91 mg/cm2; 95 % CI 0·41, 5·41) and aBMC (3·97 g; 95 % CI 1·30, 6·64) and lower BA (-4·45 cm2; 95 % CI -8·28, -0·61) compared with children breast-fed exclusively for at least 4 months. Compared with introduction of solids between 4 and 5 months, introduction feeding compared with never breast-feeding is associated with higher bone mass in 6-year-old children, but exclusive breast-feeding for 4 months or longer was not positively associated with bone outcomes.

  13. Developing a discrete choice experiment in Malawi: eliciting preferences for breast cancer early detection services

    Directory of Open Access Journals (Sweden)

    Kohler RE

    2015-10-01

    Full Text Available Racquel E Kohler,1 Clara N Lee,2 Satish Gopal,3 Bryce B Reeve,1 Bryan J Weiner,1 Stephanie B Wheeler11Department of Health Policy and Management, Gillings School of Global Public Health, 2Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; 3UNC Project-Malawi, Tidziwe Center, Lilongwe, MalawiBackground: In Malawi, routine breast cancer screening is not available and little is known about women’s preferences regarding early detection services. Discrete choice experiments are increasingly used to reveal preferences about new health services; however, selecting appropriate attributes that describe a new health service is imperative to ensure validity of the choice experiment.Objective: To identify important factors that are relevant to Malawian women’s preferences for breast cancer detection services and to select attributes and levels for a discrete choice experiment in a setting where both breast cancer early detection and choice experiments are rare.Methods: We reviewed the literature to establish an initial list of potential attributes and levels for a discrete choice experiment and conducted qualitative interviews with health workers and community women to explore relevant local factors affecting decisions to use cancer detection services. We tested the design through cognitive interviews and refined the levels, descriptions, and designs.Results: Themes that emerged from interviews provided critical information about breast cancer detection services, specifically, that breast cancer interventions should be integrated into other health services because asymptomatic screening may not be practical as an individual service. Based on participants’ responses, the final attributes of the choice experiment included travel time, health encounter, health worker type and sex, and breast cancer early detection strategy. Cognitive testing confirmed the acceptability of the final attributes

  14. Application of SVM classifier in thermographic image classification for early detection of breast cancer

    Science.gov (United States)

    Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał

    2016-09-01

    This article presents the application of machine learning algorithms for early detection of breast cancer on the basis of thermographic images. Supervised learning model: Support vector machine (SVM) and Sequential Minimal Optimization algorithm (SMO) for the training of SVM classifier were implemented. The SVM classifier was included in a client-server application which enables to create a training set of examinations and to apply classifiers (including SVM) for the diagnosis and early detection of the breast cancer. The sensitivity and specificity of SVM classifier were calculated based on the thermographic images from studies. Furthermore, the heuristic method for SVM's parameters tuning was proposed.

  15. [Consensus Meeting of Course Directors in Breast Imaging, 9 May 2009, in Frankfurt am Main - Topic: Masses].

    Science.gov (United States)

    Müller-Schimpfle, M P; Heindel, W; Kettritz, U; Schulz-Wendtland, R; Bick, U

    2010-08-01

    Fourteen directors of breast imaging courses met on behalf of the German Society of Radiology to discuss the actual standards of the diagnosis of masses. Open questions on the fields of mammography, breast ultrasound and breast MRI were elucidated by a presentation of one of the 14 panel members, followed by an electronic anonymous voting. Beside of the panel members, more than 300 participants of the consensus meeting contributed their opinions by electronic voting. Answers with definite majorities (> 75 %), answers with narrow majorities and those with missing majorities were discriminated from each other. The opinions of the plenum were compared to the majorities of the podium and showed only a few critical differences. Due to unequivocal majorities seven answers to important questions concerning the diagnosis of masses can lead to a further standardization of breast cancer diagnosis.

  16. Direct Detection of Biotinylated Proteins by Mass Spectrometry

    Science.gov (United States)

    2015-01-01

    Mass spectrometric strategies to identify protein subpopulations involved in specific biological functions rely on covalently tagging biotin to proteins using various chemical modification methods. The biotin tag is primarily used for enrichment of the targeted subpopulation for subsequent mass spectrometry (MS) analysis. A limitation of these strategies is that MS analysis does not easily discriminate unlabeled contaminants from the labeled protein subpopulation under study. To solve this problem, we developed a flexible method that only relies on direct MS detection of biotin-tagged proteins called “Direct Detection of Biotin-containing Tags” (DiDBiT). Compared with conventional targeted proteomic strategies, DiDBiT improves direct detection of biotinylated proteins ∼200 fold. We show that DiDBiT is applicable to several protein labeling protocols in cell culture and in vivo using cell permeable NHS-biotin and incorporation of the noncanonical amino acid, azidohomoalanine (AHA), into newly synthesized proteins, followed by click chemistry tagging with biotin. We demonstrate that DiDBiT improves the direct detection of biotin-tagged newly synthesized peptides more than 20-fold compared to conventional methods. With the increased sensitivity afforded by DiDBiT, we demonstrate the MS detection of newly synthesized proteins labeled in vivo in the rodent nervous system with unprecedented temporal resolution as short as 3 h. PMID:25117199

  17. Early Detection of Breast Cancer by Florescence Molecular Tomography

    Science.gov (United States)

    2006-07-01

    and C. G., "Conservative treatment versus mastectomy in early breast cancer: patterns of failure with 15 years of follow-up data. Institut Gustave...as increased tissue density or scarring from prior surgery. Functional imaging, which includes Magnetic Resonance Imaging (MRI) and Positron Emission...therapeutic strategies and will enable the effects of treatment to be more closely followed in time scales of hours or days instead of the longer

  18. 77 FR 60703 - Breast and Cervical Cancer Early Detection and Control Advisory Committee: Notice of Charter Renewal

    Science.gov (United States)

    2012-10-04

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... Committee Act (Pub. L. 92-463) of October 6, 1972, that the Breast and Cervical Cancer Early Detection and...

  19. Partial tear of pectoralis major muscle masquerading as a breast mass in an 87-year-old woman. A case report

    Energy Technology Data Exchange (ETDEWEB)

    Povoski, S.P. [Arthur G. James Cancer Hospital and Richard J. Solove Research Inst., The Ohio State Univ., Columbus, OH (United States). Dept. of Surgery; Spigos, D.G. [The Arthur G. James Cancer Hospital and Richard J. Solove Research Inst. of The Ohio State Univ., Columbus, OH (United States). Dept. of Radiology

    2002-11-01

    We report on a case of a partial tear of the pectoralis major muscle mimicking a breast mass in an elderly patient. Breast MR was useful in identifying the traumatic muscular injury and in demonstrating the lack of any intraparenchymal breast lesion.

  20. Halo-Independent Direct Detection Analyses Without Mass Assumptions

    CERN Document Server

    Anderson, Adam J; Kahn, Yonatan; McCullough, Matthew

    2015-01-01

    Results from direct detection experiments are typically interpreted by employing an assumption about the dark matter velocity distribution, with results presented in the $m_\\chi-\\sigma_n$ plane. Recently methods which are independent of the DM halo velocity distribution have been developed which present results in the $v_{min}-\\tilde{g}$ plane, but these in turn require an assumption on the dark matter mass. Here we present an extension of these halo-independent methods for dark matter direct detection which does not require a fiducial choice of the dark matter mass. With a change of variables from $v_{min}$ to nuclear recoil momentum ($p_R$), the full halo-independent content of an experimental result for any dark matter mass can be condensed into a single plot as a function of a new halo integral variable, which we call $\\tilde{h}(p_R)$. The entire family of conventional halo-independent $\\tilde{g}(v_{min})$ plots for all DM masses are directly found from the single $\\tilde{h}(p_R)$ plot through a simple re...

  1. Early detection of breast cancer using total biochemical analysis of peripheral blood components: a preliminary study.

    Science.gov (United States)

    Zelig, Udi; Barlev, Eyal; Bar, Omri; Gross, Itai; Flomen, Felix; Mordechai, Shaul; Kapelushnik, Joseph; Nathan, Ilana; Kashtan, Hanoch; Wasserberg, Nir; Madhala-Givon, Osnat

    2015-05-15

    Most of the blood tests aiming for breast cancer screening rely on quantification of a single or few biomarkers. The aim of this study was to evaluate the feasibility of detecting breast cancer by analyzing the total biochemical composition of plasma as well as peripheral blood mononuclear cells (PBMCs) using infrared spectroscopy. Blood was collected from 29 patients with confirmed breast cancer and 30 controls with benign or no breast tumors, undergoing screening for breast cancer. PBMCs and plasma were isolated and dried on a zinc selenide slide and measured under a Fourier transform infrared (FTIR) microscope to obtain their infrared absorption spectra. Differences in the spectra of PBMCs and plasma between the groups were analyzed as well as the specific influence of the relevant pathological characteristics of the cancer patients. Several bands in the FTIR spectra of both blood components significantly distinguished patients with and without cancer. Employing feature extraction with quadratic discriminant analysis, a sensitivity of ~90 % and a specificity of ~80 % for breast cancer detection was achieved. These results were confirmed by Monte Carlo cross-validation. Further analysis of the cancer group revealed an influence of several clinical parameters, such as the involvement of lymph nodes, on the infrared spectra, with each blood component affected by different parameters. The present preliminary study suggests that FTIR spectroscopy of PBMCs and plasma is a potentially feasible and efficient tool for the early detection of breast neoplasms. An important application of our study is the distinction between benign lesions (considered as part of the non-cancer group) and malignant tumors thus reducing false positive results at screening. Furthermore, the correlation of specific spectral changes with clinical parameters of cancer patients indicates for possible contribution to diagnosis and prognosis.

  2. Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach

    Science.gov (United States)

    Niazi, M. Khalid Khan; Downs-Kelly, Erinn; Gurcan, Metin N.

    2014-03-01

    We present a new method to detect hot spots from breast cancer slides stained for Ki67 expression. It is common practice to use centroid of a nucleus as a surrogate representation of a cell. This often requires the detection of individual nuclei. Once all the nuclei are detected, the hot spots are detected by clustering the centroids. For large size images, nuclei detection is computationally demanding. Instead of detecting the individual nuclei and treating hot spot detection as a clustering problem, we considered hot spot detection as an image filtering problem where positively stained pixels are used to detect hot spots in breast cancer images. The method first segments the Ki-67 positive pixels using the visually meaningful segmentation (VMS) method that we developed earlier. Then, it automatically generates an image dependent filter to generate a density map from the segmented image. The smoothness of the density image simplifies the detection of local maxima. The number of local maxima directly corresponds to the number of hot spots in the breast cancer image. The method was tested on 23 different regions of interest images extracted from 10 different breast cancer slides stained with Ki67. To determine the intra-reader variability, each image was annotated twice for hot spots by a boardcertified pathologist with a two-week interval in between her two readings. A computer-generated hot spot region was considered a true-positive if it agrees with either one of the two annotation sets provided by the pathologist. While the intra-reader variability was 57%, our proposed method can correctly detect hot spots with 81% precision.

  3. Breast cancer - Early detection with mammography. Crushed stone-like calcifications - The most frequent malignant type

    Energy Technology Data Exchange (ETDEWEB)

    Tabar, Laszlo [Univ. of Uppsala (Sweden). School of Medicine]|[Central Hospital, Falun (Sweden). Dept. of Mammography; Tot, Tibor [Univ. of Uppsala (Sweden). School of Medicine]|[Central Hospital, Falun (Sweden). Dept. of Pathology and Clinical Cytology; Dean, Peter B. [Turku Univ. (Finland). Dept. of Diagnostic Radiology

    2008-07-01

    A comprehensive guide for analyzing the most common malignant type calcifications on the mammogram Internationally renowned breast cancer imagers Laszlo Tabar and Peter B. Dean and the eminent breast pathologist Tibor Tot distill decades of clinical expertise in this new volume covering the most frequently occurring malignant type calcifications: the pleomorphic, crushed stone-like calcifications. The book presents a systematic approach to using mammographic features to distinguish different subtypes of breast diseases originating within the terminal ductal lobular unit (TDLU). More than 800 images demonstrate abnormal findings with superb clarity, providing a state-of-the-art visual reference for interpreting mammograms in the clinical setting. Features: - Concise descriptions of mammographic and MRI findings correlated with high-quality histopathologic images to provide a reliable guide for accurate diagnosis and differential diagnosis, as well as prognostic classification - Extensive coverage of all aspects of the benign differential diagnostic counterparts of pleomorphic calcifications, including fibrocystic change, fibroadenoma, and papilloma - Straightforward discussion of terminology based on a thorough analysis of subgross anatomy, 3D histologic features, and long-term disease outcomes - 3D viewing glasses enclosed in the book for perceiving specially marked images in their true 3D form This book is ideal for all breast imagers and breast pathologists, as well as for surgeons and oncologists specializing in breast diseases. For the radiologist, this book is an indispensable reference for harnessing the power of mammography to detect breast cancer at the earliest stages possible. About the Breast Cancer: Early Detection with Mammography series: This series grew out of the bestselling book Breast Cancer: The Art and Science of Early Detection with Mammography. Written by the same authors, this series is based on 30 years of experience with more than one

  4. Detection of Adriamycin-DNA adducts by accelerator mass spectrometry at clinically relevant Adriamycin concentrations.

    Science.gov (United States)

    Coldwell, Kate E; Cutts, Suzanne M; Ognibene, Ted J; Henderson, Paul T; Phillips, Don R

    2008-09-01

    Limited sensitivity of existing assays has prevented investigation of whether Adriamycin-DNA adducts are involved in the anti-tumour potential of Adriamycin. Previous detection has achieved a sensitivity of a few Adriamycin-DNA adducts/10(4) bp DNA, but has required the use of supra-clinical drug concentrations. This work sought to measure Adriamycin-DNA adducts at sub-micromolar doses using accelerator mass spectrometry (AMS), a technique with origins in geochemistry for radiocarbon dating. We have used conditions previously validated (by less sensitive decay counting) to extract [(14)C]Adriamycin-DNA adducts from cells and adapted the methodology to AMS detection. Here we show the first direct evidence of Adriamycin-DNA adducts at clinically-relevant Adriamycin concentrations. [(14)C]Adriamycin treatment (25 nM) resulted in 4.4 +/- 1.0 adducts/10(7) bp ( approximately 1300 adducts/cell) in MCF-7 breast cancer cells, representing the best sensitivity and precision reported to date for the covalent binding of Adriamycin to DNA. The exceedingly sensitive nature of AMS has enabled over three orders of magnitude increased sensitivity of Adriamycin-DNA adduct detection and revealed adduct formation within an hour of drug treatment. This method has been shown to be highly reproducible for the measurement of Adriamycin-DNA adducts in tumour cells in culture and can now be applied to the detection of these adducts in human tissues.

  5. A similarity study between the query mass and retrieved masses using decision tree content-based image retrieval (DTCBIR) CADx system for characterization of ultrasound breast mass images

    Science.gov (United States)

    Cho, Hyun-Chong; Hadjiiski, Lubomir; Chan, Heang-Ping; Sahiner, Berkman; Helvie, Mark; Paramagul, Chintana; Nees, Alexis V.

    2012-03-01

    We are developing a Decision Tree Content-Based Image Retrieval (DTCBIR) CADx scheme to assist radiologists in characterization of breast masses on ultrasound (US) images. Three DTCBIR configurations, including decision tree with boosting (DTb), decision tree with full leaf features (DTL), and decision tree with selected leaf features (DTLs) were compared. For DTb, the features of a query mass were combined first into a merged feature score and then masses with similar scores were retrieved. For DTL and DTLs, similar masses were retrieved based on the Euclidean distance between the feature vector of the query and those of the selected references. For each DTCBIR configuration, we investigated the use of the full feature set and the subset of features selected by the stepwise linear discriminant analysis (LDA) and simplex optimization method, resulting in six retrieval methods. Among the six methods, we selected five, DTb-lda, DTL-lda, DTb-full, DTL-full and DTLs-full, for the observer study. For a query mass, three most similar masses were retrieved with each method and were presented to the radiologists in random order. Three MQSA radiologists rated the similarity between the query mass and the computer-retrieved masses using a ninepoint similarity scale (1=very dissimilar, 9=very similar). For DTb-lda, DTL-lda, DTb-full, DTL-full and DTLs-full, the average Az values were 0.90+/-0.03, 0.85+/-0.04, 0.87+/-0.04, 0.79+/-0.05 and 0.71+/-0.06, respectively, and the average similarity ratings were 5.00, 5.41, 4.96, 5.33 and 5.13, respectively. Although the DTb measures had the best classification performance among the DTCBIRs studied, and DTLs had the worst performance, DTLs-full obtained higher similarity ratings than the DTb measures.

  6. Detection of formestane abuse by mass spectrometric techniques.

    Science.gov (United States)

    de la Torre, Xavier; Colamonici, Cristiana; Curcio, Davide; Jardines, Daniel; Molaioni, Francesco; Parr, Maria Kristina; Botrè, Francesco

    2014-01-01

    Formestane (4-hydroxy-androstenedione) is an aromatase inhibitor prohibited in sports and included, since 2004, in the list of prohibited substances updated yearly by the World Anti-Doping Agency (WADA). Since the endogenous production of formestane has been described, it is mandatory for the anti-doping laboratories to use isotope ratio mass spectrometry (IRMS) to establish the exogenous origin before issuing an adverse analytical finding. The described IRMS methods for formestane detection are time-consuming, requiring usually two consecutive liquid chromatographic sample purifications in order to have final extracts of adequate purity before the mass spectrometric analysis. After establishing a procedure for the determination of the origin of formestane by IRMS without the need of derivatization, and integrated in the overall analytical strategy of the laboratory for pseudo-endogenous steroids, a mass spectrometric analysis by gas chromatography-mass spectrometry (GC-MS) and gas chromatography-tandem mass spectrometry (GC-MS/MS) of formestane metabolites was carried out in order to investigate whether other biomarkers of formestane abuse could be integrated in order to avoid time-consuming and expensive IRMS confirmations for formestane. From the metabolic studies performed, the inclusion of 3β,4α-dihydroxy-5α-androstan-17-one (4α-hydroxy-epiandosterone) in the routine GC-MS procedures has demonstrated to be diagnostic in order to reduce the number of unnecessary confirmations of the endogenous origin of formestane.

  7. Probing Interfacial Processes on Graphene Surface by Mass Detection

    Science.gov (United States)

    Kakenov, Nurbek; Kocabas, Coskun

    2013-03-01

    In this work we studied the mass density of graphene, probed interfacial processes on graphene surface and examined the formation of graphene oxide by mass detection. The graphene layers were synthesized by chemical vapor deposition method on copper foils and transfer-printed on a quartz crystal microbalance (QCM). The mass density of single layer graphene was measured by investigating the mechanical resonance of the QCM. Moreover, we extended the developed technique to probe the binding dynamics of proteins on the surface of graphene, were able to obtain nonspecific binding constant of BSA protein of graphene surface in aqueous solution. The time trace of resonance signal showed that the BSA molecules rapidly saturated by filling the available binding sites on graphene surface. Furthermore, we monitored oxidation of graphene surface under oxygen plasma by tracing the changes of interfacial mass of the graphene controlled by the shifts in Raman spectra. Three regimes were observed the formation of graphene oxide which increases the interfacial mass, the release of carbon dioxide and the removal of small graphene/graphene oxide flakes. Scientific and Technological Research Council of Turkey (TUBITAK) grant no. 110T304, 109T209, Marie Curie International Reintegration Grant (IRG) grant no 256458, Turkish Academy of Science (TUBA-Gebip).

  8. Detection of breast cancer by soft-copy reading of digital mammograms: comparison between a routine image-processing parameter and high-contrast parameters.

    Science.gov (United States)

    Kamitani, Takeshi; Yabuuchi, Hidetake; Soeda, Hiroyasu; Matsuo, Yoshio; Okafuji, Takashi; Sakai, Shuji; Setoguchi, Taro; Hatakenaka, Masamitsu; Ishii, Nobuhide; Honda, Hiroshi

    2010-02-01

    Recent studies have reported the clinical usefulness of the soft-copy reading of mammograms. However, image-processing parameters for soft-copy reading of digital mammograms have not been established. To compare observer performance in detecting breast cancer by soft-copy reading of digital mammograms using a routine image-processing parameter versus each of several high-contrast parameters. The mammograms of 154 breasts, including 48 abnormal breasts with breast cancer and 106 normal breasts, were examined. Cancers were classified into 34 mass-dominant cancers, 11 microcalcification-dominant cancers, two cancers showing only architectural distortion, and one cancer without abnormal findings. All mammograms were performed using a computed radiography (CR) system. Each image was processed using GA (1.2), which was the contrast parameter recommended by the manufacturer for hard-copy film, GA (1.4), GA (1.6), and GA (1.8). These images were displayed on 5-megapixel (M) liquid-crystal display monitors. Five experienced radiologists classified them into BI-RADS category 1-2 or 3-5, and were also asked to rate the images on a scale of 0 to 100 for the likelihood of the presence of masses and microcalcifications in each breast. In mass-dominant cancers of dense breast tissue, the mean sensitivities of GA (1.2), GA (1.4), GA (1.6), and GA (1.8) were 32.7, 38.2, 36.4, and 40.0, and the A(Z) values were 0.67, 0.73, 0.71, and 0.73, respectively; in microcalcification-dominant cancers, the mean sensitivities were 80.0, 74.5, 80.0, and 78.2, respectively; however, there were no significant differences among them. High-contrast parameters tended to show relatively high sensitivity and A(Z) values in the detection of masses in dense breast tissue, but relatively low sensitivity for microcalcifications.

  9. COMPARISONOF FACTORS AFFECTING THE DETECTION OF SMALL IMPURITIES IN BREAST CANCER USING EIT.

    Directory of Open Access Journals (Sweden)

    VIDYA SARODE

    2013-06-01

    Full Text Available Breast cancer is the second leading cause of cancer death after lung cancer among women. It is very essential to detect breast cancer at an early stage so as to cure it efficiently. This paper mainly focuses on detecting impurities of small dimensions in circular plastic phantom which relate small tumors in breast. Benign cancertumor is analogous to non conducting impurity while malignant tumor is analogous to conducting impurity. Electrical Impedance Tomography (EIT based conductivity images are obtained for both conducting as well as non conducting impurities using Electrical Impedance and Diffused Optical Reconstruction Software (EIDORS. Different factors affecting the shape and size of reconstructed impurity like frequency of current source, type of forward model, material of electrodes, are discussed and compared.

  10. Challenges in the Design of Microwave Imaging Systems for Breast Cancer Detection

    Directory of Open Access Journals (Sweden)

    ZHURBENKO, V.

    2011-02-01

    Full Text Available Among the various breast imaging modalities for breast cancer detection, microwave imaging is attractive due to the high contrast in dielectric properties between the cancerous and normal tissue. Due to this reason, this modality has received a significant interest and attention from the microwave community. This paper presents the survey of the ongoing research in the field of microwave imaging of biological tissues, with major focus on the breast tumor detection application. The existing microwave imaging systems are categorized on the basis of the employed measurement concepts. The advantages and disadvantages of the implemented imaging techniques are discussed. The fundamental tradeoffs between the various system requirements are indicated. Some strategies to overcome these limitations are outlined.

  11. Clinical Application of Fluorescence in Situ Hybridization (FISH) to Detect HER-2 Gene in Breast Cancer

    Institute of Scientific and Technical Information of China (English)

    Maurie Buehler; Ellie Guardino; Jung Sik Park; Eun Jeong Jang

    2014-01-01

    Objective: To investigate the clinical application of the detection of HER-2 gene by lfuorescence in situ hybridization (FISH) in breast cancer and the correlation between HER-2 gene ampliifcation and clinicopathology of breast cancer. Methods:Parafifn-embedded breast inifltrating ductal carcinoma from 48 patients were detected by FISH and immunohistochemistry (IHC) respectively for comparing the results of two methods. Results: HER-2 protein expressions were classified into three groups (3+/2+/1+ or 0) and the positive rates of HER-2 gene ampliifcation by FISH were 77.8%, 57.1% and 10.5%, respectively. Of the 29 cases with positive axillary lymph node, 12 were with HER-2 gene ampliifcation (P0.05). Conclusion:The false positive and negative rates are higher in HER-2 protein expression by IHC. Compared with IHC, FISH, being more effective and precise, can be applied extensively in clinic. HER-2 gene ampliifcation is concerned with axillary nodes metastases.

  12. Bio-Aerosol Detection Using Mass Spectrometry: Public Health Applications

    Energy Technology Data Exchange (ETDEWEB)

    Ludvigson, Laura D. [Univ. of California, Berkeley, CA (United States)

    2004-01-01

    I recently spent a summer as an intern at the Lawrence Livermore National Laboratory. I worked on a project involving the real-time, reagentless, single cell detection of aerosolized pathogens using a novel mass spectrometry approach called Bio-Aerosol Mass Spectrometry (BAMS). Based upon preliminary results showing the differentiation capabilities of BAMS, I would like to explore the development and use of this novel detection system in the context of both environmental and clinical sample pathogen detection. I would also like to explore the broader public health applications that a system such as BAMS might have in terms of infectious disease prevention and control. In order to appreciate the potential of this instrument, I will demonstrate the need for better pathogen detection methods, and outline the instrumentation, data analysis and preliminary results that lead me toward a desire to explore this technology further. I will also discuss potential experiments for the future along with possible problems that may be encountered along the way.

  13. Bio-Aerosol Detection Using Mass Spectrometry: Public Health Applications

    Energy Technology Data Exchange (ETDEWEB)

    Ludvigson, L D

    2004-03-05

    I recently spent a summer as an intern at the Lawrence Livermore National Laboratory. I worked on a project involving the real-time, reagentless, single cell detection of aerosolized pathogens using a novel mass spectrometry approach called Bio-Aerosol Mass Spectrometry (BAMS). Based upon preliminary results showing the differentiation capabilities of BAMS, I would like to explore the development and use of this novel detection system in the context of both environmental and clinical sample pathogen detection. I would also like to explore the broader public health applications that a system such as BAMS might have in terms of infectious disease prevention and control. In order to appreciate the potential of this instrument, I will demonstrate the need for better pathogen detection methods, and outline the instrumentation, data analysis and preliminary results that lead me toward a desire to explore this technology further. I will also discuss potential experiments for the future along with possible problems that may be encountered along the way.

  14. Rapid Detection of Irreversible Acetylcholineasterase Inhibitor by Mass Spectrometry Assay

    Institute of Scientific and Technical Information of China (English)

    蔡婷婷; 张立; 汪蓉; 梁晨; 赵武生; 傅得锋; 张玉荣; 郭寅龙

    2012-01-01

    Here we developed a rapid method to detect acetylcholinesterase (ACHE) activity by matrix-assisted laser de- sorption/ionization Fourier transform mass spectrometry (MALDI-FTMS) for screening irreversible AChE inhibi- tors. Due to its good salt-tolerance and low sample consumption, MALDI-FTMS could facilitate rapid detection, especially detection in real application. AChE activity was determined through calculating abundance of substrate and product in mass spectrometry. By this approach, we investigated the relation of organophosphorous (OP) con- centrations and AChE inhibition. Shown in different inhibition curves from different OP pesticides, enzyme inhibi- tions still kept good correlation with concentration of OPs. Finally, this AChE-inhibited method was applied to screen whole bloods of four decedents and discuss their death reason. In contrast to healthy persons, three of dece- dents showed low AChE activity, and probably died for irreversible AChE inhibitors. Through the following de- tecting in GC-MS/MS, the possible death reason of these three decedents was confirmed, and another decedent actually died for sumicidin, a non-AChE inhibitor. It demonstrated that screening irreversible AChE inhibitors by detecting enzyme activity in MALDI-FTMS provided fast and accurate analysis results and excluded another toxicants not functioning on ACHE. This method offered alternative choices for indicating the existence of enzyme inhibitors.

  15. Body mass index and survival after diagnosis of invasive breast cancer: a study based on the Japanese National Clinical Database-Breast Cancer Registry.

    Science.gov (United States)

    Kawai, Masaaki; Tomotaki, Ai; Miyata, Hiroaki; Iwamoto, Takayuki; Niikura, Naoki; Anan, Keisei; Hayashi, Naoki; Aogi, Kenjiro; Ishida, Takanori; Masuoka, Hideji; Iijima, Kotaro; Masuda, Shinobu; Tsugawa, Koichiro; Kinoshita, Takayuki; Nakamura, Seigo; Tokuda, Yutaka

    2016-06-01

    Few studies have reported the association between body mass index (BMI) and outcome among Asian breast cancer patients. We analyzed data for 20,090 female invasive breast cancer patients who had been followed-up for a median period of 6.7 years entered in the National Clinical Database-Breast Cancer Registry between 2004 and 2006. We used mainly the WHO criteria for BMI (kg/m(2) ) categories; cause, 937 breast cancer-specific deaths, and 2433 recurrences were observed. Obesity was associated with an increased risk of all-cause (HR: 1.46; 95% CI: 1.16-1.83) and breast cancer-specific death (HR: 1.47; 95% CI: 1.11-1.93) for all patients, and with all-cause (HR: 1.47; 95% CI: 1.13-1.92) and breast cancer-specific death (HR: 1.58; 95% CI: 1.13-2.20) for postmenopausal patients. Being underweight was associated with an increased risk of all-cause death for all (HR: 1.41; 95% CI: 1.16-1.71) and for postmenopausal patients (HR: 1.45; 95% CI: 1.15-1.84). With regard to subtype and menopausal status, obesity was associated with an increased risk of breast cancer-specific death for all cases of luminal B tumor (HR: 2.59; 95% CI: 1.51-4.43; Pheterogeneity of Luminal B vs. Triple negative = 0.016) and for postmenopausal patients with luminal B tumor (HR: 3.24; 95% CI: 1.71-6.17). Being obese or underweight is associated with a higher risk of death among female breast cancer patients in Japan.

  16. Cancer early detection program based on awareness and clinical breast examination: Interim results from an urban community in Mumbai, India.

    Science.gov (United States)

    Gadgil, Anita; Sauvaget, Catherine; Roy, Nobhojit; Muwonge, Richard; Kantharia, Surita; Chakrabarty, Anuradha; Bantwal, Kanchan; Haldar, Indrani; Sankaranarayanan, Rengaswamy

    2017-02-01

    Indian women with breast cancer are usually diagnosed in advanced stages leading to poor survival. Improving breast awareness and increasing access to early diagnosis and adequate treatment has been advocated for breast cancer control. We implemented a program to increase awareness on breast cancer and access to its early detection in an occupational health care scheme in Mumbai, India. Breast awareness brochures were mailed annually between June 2013 and June 2016 to a cohort of 22,500 eligible women aged 30-69 years old receiving universal health care from an occupational health care scheme comprising of primary health centres and a referral secondary care hospital in Mumbai. Women with suspected breast cancers were provided with diagnostic investigations and treatment. Socio-demographic information and tumour characteristics were compared between the breast awareness pre-intervention period (Jan 2005-May 2013) and the breast awareness intervention period after four rounds of mailers (June 2013-June 2016). The proportion of women with early tumours and axillary lymph node negative cancers increased from 74% to 81% and 46% to 53% respectively, between the two periods. While the proportion of patients receiving breast conserving surgery increased from 39% to 51%, the proportion receiving chemotherapy decreased from 84% to 56%. Interim results following efforts to improve breast awareness and access to care in a cohort of women in an occupational health care scheme indicate early detection and more conservative treatment of breast cancers. Creating awareness and improving access to care may result in cancer down-staging.

  17. Bi-model processing for early detection of breast tumor in CAD system

    Science.gov (United States)

    Mughal, Bushra; Sharif, Muhammad; Muhammad, Nazeer

    2017-06-01

    Early screening of skeptical masses in mammograms may reduce mortality rate among women. This rate can be further reduced upon developing the computer-aided diagnosis system with decrease in false assumptions in medical informatics. This method highlights the early tumor detection in digitized mammograms. For improving the performance of this system, a novel bi-model processing algorithm is introduced. It divides the region of interest into two parts, the first one is called pre-segmented region (breast parenchyma) and other is the post-segmented region (suspicious region). This system follows the scheme of the preprocessing technique of contrast enhancement that can be utilized to segment and extract the desired feature of the given mammogram. In the next phase, a hybrid feature block is presented to show the effective performance of computer-aided diagnosis. In order to assess the effectiveness of the proposed method, a database provided by the society of mammographic images is tested. Our experimental outcomes on this database exhibit the usefulness and robustness of the proposed method.

  18. Charge detection mass spectrometry: Instrumentation & applications to viruses

    Science.gov (United States)

    Pierson, Elizabeth E.

    For over three decades, electrospray ionization (ESI) has been used to ionize non-covalent complexes and subsequently transfer the intact ion into the gas phase for mass spectrometry (MS) analysis. ESI generates a distribution of multiple charged ions, resulting in an m/z spectrum comprised of a series of peaks, known as a charge state envelope. To obtain mass information, the number of charges for each peak must be deduced. For smaller biological analytes like peptides, the charge states are sufficiently resolved and this process is straightforward. For macromolecular complexes exceeding ~100 kDa, this process is complicated by the broadening and shifting of charge states due to incomplete desolvation, salt adduction, and inherent mass heterogeneity. As the analyte mass approaches the MDa regime, the m/z spectrum is often comprised of a broad distribution of unresolved charge states. In such cases, mass determination is precluded. Charge detection mass spectrometry (CDMS) is an emerging MS technique for determining the masses of heterogeneous, macromolecular complexes. In CDMS, the m/z and z of single ions are measured concurrently so that mass is easily calculated. With this approach, deconvolution of an m/z spectrum is unnecessary. This measurement is carried out by passing macroions through a conductive cylinder. The induced image charge on the cylindrical detector provides information about m/z and z: the m/z is related to its time-of-flight through the detector, and the z is related to the intensity of the image charge. We have applied CDMS to study the self-assembly of virus capsids. Late-stage intermediates in the assembly of hepatitis B virus, a devastating human pathogen, have been identified. This is the first time that such intermediates have been detected and represent a significant advancement towards understanding virus capsid assembly. CDMS has also been used to identify oversized, non-icosahedral polymorphs in the assembly of woodchuck hepatitis

  19. Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses

    Energy Technology Data Exchange (ETDEWEB)

    Hupse, Rianne; Samulski, Maurice; Imhof-Tas, Mechli W.; Karssemeijer, Nico [Radboud University Nijmegen Medical Centre, Department of Radiology, Nijmegen (Netherlands); Lobbes, Marc; Boetes, Carla [Maastricht University Medical Centre, Department of Radiology, Maastricht (Netherlands); Heeten, Ard den [National Expert and Training Centre for Breast Cancer Screening, Nijmegen (Netherlands); Academic Medical Centre Amsterdam, Department of Radiology, Amsterdam (Netherlands); Beijerinck, David [Screening Program Early Detection of Breast Cancer in the Centre/Mid-West Part of the Netherlands, Utrecht (Netherlands); Pijnappel, Ruud [National Expert and Training Centre for Breast Cancer Screening, Nijmegen (Netherlands); University Medical Centre Utrecht, Department of Radiology, Utrecht (Netherlands)

    2013-01-15

    We developed a computer-aided detection (CAD) system aimed at decision support for detection of malignant masses and architectural distortions in mammograms. The effect of this system on radiologists' performance depends strongly on its standalone performance. The purpose of this study was to compare the standalone performance of this CAD system to that of radiologists. In a retrospective study, nine certified screening radiologists and three residents read 200 digital screening mammograms without the use of CAD. Performances of the individual readers and of CAD were computed as the true-positive fraction (TPF) at a false-positive fraction of 0.05 and 0.2. Differences were analysed using an independent one-sample t-test. At a false-positive fraction of 0.05, the performance of CAD (TPF = 0.487) was similar to that of the certified screening radiologists (TPF = 0.518, P = 0.17). At a false-positive fraction of 0.2, CAD performance (TPF = 0.620) was significantly lower than the radiologist performance (TPF = 0.736, P <0.001). Compared to the residents, CAD performance was similar for all false-positive fractions. The sensitivity of CAD at a high specificity was comparable to that of human readers. These results show potential for CAD to be used as an independent reader in breast cancer screening. (orig.)

  20. Formation and Detection of Earth Mass Planets around Low Mass Stars

    OpenAIRE

    Montgomery, Ryan; Laughlin, Greg

    2009-01-01

    We investigate an in-situ formation scenario for Earth-mass terrestrial planets in short-period, potentially habitable orbits around low-mass stars (M_star < 0.3 M_sun). We then investigate the feasibility of detecting these Earth-sized planets. Our simulations of terrestrial planet formation follow the growth of planetary embryos in an annular region around a fiducial M7 primary. Our simulations couple a semi-analytic model to a full N-body integration to follow the growth from ~3x10^21 g to...

  1. Quantifying the Role of Circulating Unconjugated Estradiol in Mediating the Body Mass Index-Breast Cancer Association.

    Science.gov (United States)

    Schairer, Catherine; Fuhrman, Barbara J; Boyd-Morin, Jennifer; Genkinger, Jeanine M; Gail, Mitchell H; Hoover, Robert N; Ziegler, Regina G

    2016-01-01

    Higher body mass index (BMI) and circulating estrogen levels each increase postmenopausal breast cancer risk, particularly estrogen receptor-positive (ER(+)) tumors. Higher BMI also increases estrogen production. We estimated the proportion of the BMI-ER(+) breast cancer association mediated through estrogen in a case-control study nested within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Participants included 143 women with invasive ER(+) breast cancer and 268 matched controls, all postmenopausal and never having used hormone therapy at baseline. We used liquid chromatography-tandem mass spectrometry to measure 15 estrogens and estrogen metabolites in baseline serum. We calculated BMI from self-reported height and weight at baseline. We estimated the mediating effect of unconjugated estradiol on the BMI-ER(+) breast cancer association using Aalen additive hazards and Cox regression models. All estrogens and estrogen metabolites were statistically significantly correlated with BMI, with unconjugated estradiol most strongly correlated [Pearson correlation (r) = 0.45]. Approximately 7% to 10% of the effect of overweight, 12% to 15% of the effect of obesity, and 19% to 20% of the effect of a 5 kg/m(2) BMI increase on ER(+) breast cancer risk was mediated through unconjugated estradiol. The BMI-breast cancer association, once adjusted for unconjugated estradiol, was not modified by further adjustment for two metabolic ratios statistically significantly associated with both breast cancer and BMI. Circulating unconjugated estradiol levels partially mediate the BMI-breast cancer association, but other potentially important estrogen mediators (e.g., bioavailable estradiol) were not evaluated. Further research is required to identify mechanisms underlying the BMI-breast cancer association. ©2015 American Association for Cancer Research.

  2. Qualitative pattern classification of shear wave elastography for breast masses: How it correlates to quantitative measurements

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Jung Hyun, E-mail: lvjenny0417@gmail.com [Department of Radiology, CHA Bundang Medical Center, CHA University, School of Medicine (Korea, Republic of); Department of Radiology, Research Institute of Radiological Science, Yonsei University, College of Medicine (Korea, Republic of); Ko, Kyung Hee, E-mail: yourheeya@cha.ac.kr [Department of Radiology, CHA Bundang Medical Center, CHA University, School of Medicine (Korea, Republic of); Jung, Hae Kyoung, E-mail: AA40501@cha.ac.kr [Department of Radiology, CHA Bundang Medical Center, CHA University, School of Medicine (Korea, Republic of); Lee, Jong Tae, E-mail: jtlee@cha.ac.kr [Department of Radiology, CHA Bundang Medical Center, CHA University, School of Medicine (Korea, Republic of)

    2013-12-01

    Objective: To determine the correlation of qualitative shear wave elastography (SWE) pattern classification to quantitative SWE measurements and whether it is representative of quantitative SWE values with similar performances. Methods: From October 2012 to January 2013, 267 breast masses of 236 women (mean age: 45.12 ± 10.54 years, range: 21–88 years) who had undergone ultrasonography (US), SWE, and subsequent biopsy were included. US BI-RADS final assessment and qualitative and quantitative SWE measurements were recorded. Correlation between pattern classification and mean elasticity, maximum elasticity, elasticity ratio and standard deviation were evaluated. Diagnostic performances of grayscale US, SWE parameters, and US combined to SWE values were calculated and compared. Results: Of the 267 breast masses, 208 (77.9%) were benign and 59 (22.1%) were malignant. Pattern classifications significantly correlated with all quantitative SWE measurements, showing highest correlation with maximum elasticity, r = 0.721 (P < 0.001). Sensitivity was significantly decreased in US combined to SWE measurements to grayscale US: 69.5–89.8% to 100.0%, while specificity was significantly improved: 62.5–81.7% to 13.9% (P < 0.001). Area under the ROC curve (A{sub z}) did not show significant differences between grayscale US to US combined to SWE (P > 0.05). Conclusion: Pattern classification shows high correlation to maximum stiffness and may be representative of quantitative SWE values. When combined to grayscale US, SWE improves specificity of US.

  3. Modeling of electrical impedance tomography to detect breast cancer by finite volume methods

    Science.gov (United States)

    Ain, K.; Wibowo, R. A.; Soelistiono, S.

    2017-05-01

    The properties of the electrical impedance of tissue are an interesting study, because changes of the electrical impedance of organs are related to physiological and pathological. Both physiological and pathological properties are strongly associated with disease information. Several experiments shown that the breast cancer has a lower impedance than the normal breast tissue. Thus, the imaging based on impedance can be used as an alternative equipment to detect the breast cancer. This research carries out by modelling of Electrical Impedance Tomography to detect the breast cancer by finite volume methods. The research includes development of a mathematical model of the electric potential field by 2D Finite Volume Method, solving the forward problem and inverse problem by linear reconstruction method. The scanning is done by 16 channel electrode with neighbors method to collect data. The scanning is performed at a frequency of 10 kHz and 100 kHz with three objects numeric includes an anomaly at the surface, an anomaly at the depth and an anomaly at the surface and at depth. The simulation has been successfully to reconstruct image of functional anomalies of the breast cancer at the surface position, the depth position or a combination of surface and the depth.

  4. Ionizing radiation-induced DNA injury and damage detection in patients with breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Borrego-Soto, Gissela; Ortiz-Lopez, Rocio; Rojas-Martinez, Augusto, E-mail: arojasmtz@gmail.com, E-mail: augusto.rojasm@uanl.mx [Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León (Mexico)

    2015-10-15

    Breast cancer is the most common malignancy in women. Radiotherapy is frequently used in patients with breast cancer, but some patients may be more susceptible to ionizing radiation, and increased exposure to radiation sources may be associated to radiation adverse events. This susceptibility may be related to deficiencies in DNA repair mechanisms that are activated after cell-radiation, which causes DNA damage, particularly DNA double strand breaks. Some of these genetic susceptibilities in DNA-repair mechanisms are implicated in the etiology of hereditary breast/ovarian cancer (pathologic mutations in the BRCA 1 and 2 genes), but other less penetrant variants in genes involved in sporadic breast cancer have been described. These same genetic susceptibilities may be involved in negative radiotherapeutic outcomes. For these reasons, it is necessary to implement methods for detecting patients who are susceptible to radiotherapy-related adverse events. This review discusses mechanisms of DNA damage and repair, genes related to these functions, and the diagnosis methods designed and under research for detection of breast cancer patients with increased radiosensitivity. (author)

  5. Quasi-multistatic MIST beamforming for the early detection of breast cancer.

    Science.gov (United States)

    O'Halloran, Martin; Jones, Edward; Glavin, Martin

    2010-04-01

    Microwave imaging via space-time (MIST) beamforming has been shown to be one of the most promising imaging modalities for detecting small malignant breast tumors. This paper outlines two modifications to the MIST system developed by Hagness for the early detection of breast cancer, resulting in a quasi-multistatic MIST beamformer (multi-MIST). Multistatic MIST beamforming involves illuminating the breast with an ultrawideband (UWB) signal from one antenna while collecting the reflections at an array of antennas, as opposed to traditional monostatic MIST beamforming where only the transmitting antenna records the reflections from the breast. In order to process the multistatic data, traditional data-adaptive artifact removal algorithms have to be modified to accommodate signals from all antennas. Also, the MIST beamforming algorithm, which spatially focuses the signal and compensates for frequency-dependent propagation effects, has to be modified. The algorithms are tested on a 2-D anatomically accurate finite-difference time-domain model of the breast. The multi-MIST beamformer described here is shown to offer an improved signal to clutter ratio when compared to the traditional monostatic MIST beamformer.

  6. A multiple circular path convolution neural network system for detection of mammographic masses.

    Science.gov (United States)

    Lo, Shih-Chung B; Li, Huai; Wang, Yue; Kinnard, Lisa; Freedman, Matthew T

    2002-02-01

    A multiple circular path convolution neural network (MCPCNN) architecture specifically designed for the analysis of tumor and tumor-like structures has been constructed. We first divided each suspected tumor area into sectors and computed the defined mass features for each sector independently. These sector features were used on the input layer and were coordinated by convolution kernels of different sizes that propagated signals to the second layer in the neural network system. The convolution kernels were trained, as required, by presenting the training cases to the neural network. In this study, randomly selected mammograms were processed by a dual morphological enhancement technique. Radiodense areas were isolated and were delineated using a region growing algorithm. The boundary of each region of interest was then divided into 36 sectors using 36 equi-angular dividers radiated from the center of the region. A total of 144 Breast Imaging-Reporting and Data System-based features (i.e., four features per sector for 36 sectors) were computed as input values for the evaluation of this newly invented neural network system. The overall performance was 0.78-0.80 for the areas (Az) under the receiver operating characteristic curves using the conventional feed-forward neural network in the detection of mammographic masses. The performance was markedly improved with Az values ranging from 0.84 to 0.89 using the MCPCNN. This paper does not intend to claim the best mass detection system. Instead it reports a potentially better neural network structure for analyzing a set of the mass features defined by an investigator.

  7. 77 FR 71193 - Breast and Cervical Cancer Early Detection Federal Advisory Committee

    Science.gov (United States)

    2012-11-29

    ... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention (CDC) Breast and Cervical Cancer Early Detection Federal Advisory Committee Correction: This notice was published in the Federal Register on...

  8. 75 FR 57472 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC): Notice of...

    Science.gov (United States)

    2010-09-21

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC): Notice of Charter Renewal This gives notice under the Federal...

  9. Detection and clinical relevance of early disseminated breast cancer cells depend on their cytokeratin expression pattern

    NARCIS (Netherlands)

    Effenberger, Katharina E.; Borgen, Elin; Eulenburg, Christine Zu; Bartkowiak, Kai; Grosser, Andrea; Synnestvedt, Marit; Kaaresen, Rolf; Brandt, Burkhard; Nesland, Jahn M.; Pantel, Klaus; Naume, Bjorn

    2011-01-01

    The factors determining the clinical relevance of disseminated tumor cells (DTC) in breast cancer patients are largely unknown. Here we compared the specificity and clinical performance of two antibodies frequently used for DTC detection. Reactivities of antibodies A45-B/B3 (A45) and AE1/AE3 (AE) fo

  10. Computer-Aided Detection in Breast Magnetic Resonance Imaging: A Review

    NARCIS (Netherlands)

    Dorrius, M. D.; Van Ooijen, P.M.A.

    2008-01-01

    The aim of this study is to give an overview on the accuracy of the discrimination between benign and malignant breast lesions on MRI with and without the use of a computer-aided detection (CAD) system. One investigator selected relevant articles based on title and abstract. Ten articles were select

  11. Low-frequency phased-array 2D fluorescence localization in breast cancer detection

    Science.gov (United States)

    Liu, Qian; Chen, Yu; Chance, Britton; Luo, Qingming

    2003-12-01

    A method for rapid, non-invasive 2D fluorescence localization of breast cancer using low frequency phased array near-infrared technique is presented in this article. In our study, we have developed a dual-channel fluorescence detection system to locate breast cancer. This system consists two pair of in-phase and out-of-phase light emitting diodes (LEDs) as the light sources and Photomultiplier Tube (PMT) as the detector. Two null planes generated by cancellation of diffusion photon density waves (DPDW) will indicate the 2D position of breast cancer with exogenous contrast agents. The fluorescent contrast agent used in this study is Indocyanine Green (ICG) and the minimum amount of ICG detected by our system is 0.5 μM. With the 2 cm separation of sources and detector, the maximum depth our system can detect is 10 mm. The whole system is in compact size and portable. Phantom experiments show that the system can provide real time detection and localization of small hidden absorbing-fluorescent objects inside the highly scattering medium with high accuracy of +/-3 mm. The potential application is that it is low-cost and can be used for breast cancer localization as operation aid and self-examination.

  12. Impact of body mass index on breast cancer in accordance with the life-stage of women

    Directory of Open Access Journals (Sweden)

    Reiko eSuzuki

    2012-10-01

    Full Text Available A large amount of epidemiological evidence suggests that the impact of body weight on breast cancer risk should be heterogeneous throughout the life stage of women. At birth, high weight has been positively associated with an increased risk of breast cancer.While, the body mass index (a relative body weight; BMI kg/m2 has been inversely associated with breast cancer risk among premenopausal women. The inverse trend had been observed in both Western and Asian population, with a relatively lower percentage of obesity and higher percentage of leanness, suggested that the inverse trend could be explained not only due to the protective impact due to obesity, but also the increased risk of breast cancer due to leanness.Among postmenopausal women, however, an elevated BMI has been positively associated with the development of breast cancer, particularly in the cases of estrogen receptor positive (ER+ and progesterone receptor positive (PR+ tumors. Currently, the mechanisms underlying the heterogeneous impacts between BMI on breast cancer risk and the life stage of women remain poorly understood. We reviewed several proposed biological mechanisms that may contribute to the various impacts of relative body weight on breast cancer risk across life-stage. We also discussed the impact of BMI upon the outcome of endocrine therapy, particularly for aromatase inhibitor, in breast cancer patients. To prevent breast cancer incidence and recurrence, the desirable BMI of women may differ throughout their life-stage. To define the underlying mechanism for the various impacts of BMI in the context of breast cancer across various female life stages, further studies will be required.

  13. In newly diagnosed breast cancer, screening MRI of the contralateral breast detects mammographically occult cancer, even in elderly women: the mayo clinic in Florida experience.

    Science.gov (United States)

    Bernard, Johnny Ray; Vallow, Laura A; DePeri, Elizabeth R; McNeil, Rebecca B; Feigel, Deborah G; Amar, Surabhi; Buskirk, Steven J; Perez, Edith A

    2010-01-01

    The role of magnetic resonance imaging (MRI) in patients with newly diagnosed breast cancer is somewhat controversial. The purpose of this study was to evaluate the prevalence of synchronous, occult contralateral breast cancer detected by MRI but not by mammography or clinical breast examination in women with newly diagnosed breast cancer, including those aged 70 years or older at our institution. MRI results for women with newly diagnosed breast cancer who underwent bilateral breast MRI after negative mammography and clinical examination between February 2003 and November 2007 at Mayo Clinic in Florida were reviewed. The prevalence of pathologically confirmed contralateral carcinoma diagnosed solely by MRI was determined and analyzed in the context of age, family history, menopausal status, breast density, and primary-tumor characteristics. Logistic regression was used to explore the association between contralateral carcinoma and potential patient risk factors. A total of 425 women were evaluated, of whom 129 (30%) were aged 70 years or older. A contralateral biopsy was recommended and performed solely on the basis of MRI in 72 of the 425 women (17%). Sixteen of these 72 women (22%) had pathologically confirmed carcinoma, including seven in the older subgroup. The prevalence of clinically and mammographically occult contralateral carcinoma detected by MRI was 3.8% (16/425) overall and 5.4% (7/129) in the group of older women. When potential risk factors for contralateral breast cancer were evaluated, postmenopausal status was the only significant predictor of contralateral cancer detected by MRI (p = 0.016). We concluded that contralateral breast screening with MRI should be considered in postmenopausal women with newly diagnosed breast cancer, even those aged 70 years or older at diagnosis.

  14. A method for mass candidate detection and an application to liver lesion detection

    Science.gov (United States)

    Costa, Maria J.; Tsymbal, Alexey; Nguatem, William; Suehling, Michael; Zhou, S. Kevin; Comaniciu, Dorin

    2011-03-01

    Detection and segmentation of abnormal masses within organs in Computed Tomography (CT) images of patients is of practical importance in computer-aided diagnosis (CAD), treatment planning, and analysis of normal as well as pathological regions. For intervention planning e.g. in radiotherapy the detection of abnormal masses is essential for patient diagnosis, personalized treatment choice and follow-up. The unpredictable nature of disease often makes the detection of the presence, appearance, shape, size and number of abnormal masses a challenging task, which is particularly tedious when performed by hand. Moreover, in cases in which the imaging protocol specifies the administration of a contrast agent, the contrast agent phases at which the patient images are acquired have a dramatic influence on the shape and appearance of the diseased masses. In this paper we propose a method to automatically detect candidate lesions (CLs) in 3D CTs of liver lesions. We introduce a novel multilevel candidate generation method that proves clearly advantageous in a comparative study with a state of the art approach. A learning-based selection module and a candidate fusion module are then introduced to reduce both redundancy and the false positive rate. The proposed workflow is applied to the detection of both hyperdense and hypodense hepatic lesions in all contrast agent phases, with resulting sensitivities of 89.7% and 92% and positive predictive values of 82.6% and 87.6% respectively.

  15. Early detection of breast and cervical cancer among indigenous communities in Morelos, Mexico.

    Directory of Open Access Journals (Sweden)

    Lourdes Campero

    2014-09-01

    Full Text Available Objective. To analyze the perception in relation to when and how to perform actions for the early detection of breast and cervical cancer among women and health care providers in communities with a high percentage of indigenous population in Morelos, Mexico. Materials and methods. Ten health providers and 58 women users of health services were interviewed which have a first level of attention in five communities. The analysis was developed under the approach of the Grounded Theory. Results. Providers are poorly informed about current regulations and specific clinical indications for the detection of cervical and breast cancer. Few propitiate health literacy under intercultural sensitization. The users have imprecise or wrong notions of the early detection. Conclusions. The need for training in adherence to norms is evident. It is urgent to assume a culturally relevant approach to enable efficient communication and promote health literacy for early detection of these two cancers.

  16. [Early detection of breast and cervical cancer among indigenous communities in Morelos, Mexico].

    Science.gov (United States)

    Campero, Lourdes; Atienzo, Erika E; Marín, Eréndira; de la Vara-Salazar, Elvia; Pelcastre-Villafuerte, Blanca; González, Guillermo

    2014-01-01

    To analyze the perception in relation to when and how to perform actions for the early detection of breast and cervical cancer among women and health care providers in communities with a high percentage of indigenous population in Morelos, Mexico. Ten health providers and 58 women users of health services were interviewed which have a first level of attention in five communities. The analysis was developed under the approach of the Grounded Theory. Providers are poorly informed about current regulations and specific clinical indications for the detection of cervical and breast cancer. Few practice health literacy under intercultural sensitization. The users have imprecise or wrong notions of the early detection. The need for training in adherence to norms is evident. It is urgent to assume a culturally relevant approach to enable efficient communication and promote health literacy for early detection of these two cancers.

  17. Detection of architectural distortion in mammograms acquired prior to the detection of breast cancer using texture and fractal analysis

    Science.gov (United States)

    Prajna, Shormistha; Rangayyan, Rangaraj M.; Ayres, Fábio J.; Desautels, J. E. Leo

    2008-03-01

    Mammography is a widely used screening tool for the early detection of breast cancer. One of the commonly missed signs of breast cancer is architectural distortion. The purpose of this study is to explore the application of fractal analysis and texture measures for the detection of architectural distortion in screening mammograms taken prior to the detection of breast cancer. A method based on Gabor filters and phase portrait analysis was used to detect initial candidates of sites of architectural distortion. A total of 386 regions of interest (ROIs) were automatically obtained from 14 "prior mammograms", including 21 ROIs related to architectural distortion. The fractal dimension of the ROIs was calculated using the circular average power spectrum technique. The average fractal dimension of the normal (false-positive) ROIs was higher than that of the ROIs with architectural distortion. For the "prior mammograms", the best receiver operating characteristics (ROC) performance achieved was 0.74 with the fractal dimension and 0.70 with fourteen texture features, in terms of the area under the ROC curve.

  18. Bilateral axillary masses mimicking as accessory breast with multiple fibroadenoma and bilateral gigantomastia in HIV-positive patient.

    Science.gov (United States)

    Singh, Saumya; Mishra, Anand K; Tewari, S; Kumar, Sanjeev

    2013-06-24

    Accessory breast is a rare entity that can present as asymptomatic masses or can cause symptoms like heaviness, pain, restriction of arm movement and limitation in daily pursuits with allied apprehension and anxiety for the patient. We present a case of bilateral axillary masses mimicking as accessory breast with multiple fibroadenoma in a 28 years, nulliparous, Indian woman who is HIV positive, which proves to be a diagnostic dilemma. Excisional biopsy was diagnostic. The rarity of such cases imposes challenges on the management in terms of diagnosis, prognosis and therapeutic options.

  19. Augmented kludge waveforms for detecting extreme-mass-ratio inspirals

    Science.gov (United States)

    Chua, Alvin J. K.; Moore, Christopher J.; Gair, Jonathan R.

    2017-08-01

    The extreme-mass-ratio inspirals (EMRIs) of stellar-mass compact objects into massive black holes are an important class of source for the future space-based gravitational-wave detector LISA. Detecting signals from EMRIs will require waveform models that are both accurate and computationally efficient. In this paper, we present the latest implementation of an augmented analytic kludge (AAK) model, publicly available at https://github.com/alvincjk/EMRI_Kludge_Suite as part of an EMRI waveform software suite. This version of the AAK model has improved accuracy compared to its predecessors, with two-month waveform overlaps against a more accurate fiducial model exceeding 0.97 for a generic range of sources; it also generates waveforms 5-15 times faster than the fiducial model. The AAK model is well suited for scoping out data analysis issues in the upcoming round of mock LISA data challenges. A simple analytic argument shows that it might even be viable for detecting EMRIs with LISA through a semicoherent template bank method, while the use of the original analytic kludge in the same approach will result in around 90% fewer detections.

  20. Can accelerometers detect mass variations in Amazonian trees?

    Science.gov (United States)

    van Emmerik, Tim; Steele-Dunne, Susan; Gentine, Pierre; Guerin, Marceau; Hut, Rolf; Oliveira, Rafael; van de Giesen, Nick

    2016-04-01

    The mass of trees is influenced by physiological processes within the tree (e.g. transpiration and root water uptake), as well as external loads (e.g. intercepted precipitation). Recent studies have found diurnal variations in radar backscatter over vegetated areas, which might be attributed to mass changes of the vegetation layer. Field measurements are required to study the driving processes. This study aims to use measured three-dimensional displacement and acceleration of trees, to detect and quantify their diurnal (bio)mass variations. Accelerometers and dendrometers were installed on seven different tree species in the Amazon rainforest. Trees were selected to cover a broad range of wood density. Using spectral analysis, the governing frequencies in the acceleration time series were found. The governing frequencies showed a diurnal pattern, as well as a change during precipitation events. Our results suggest that we can separate and potentially quantify tree mass changes due to (1) internal water redistribution and (2) intercepted precipitation. This will allow further investigation of the effect of precipitation and water stress on tree dynamics in forest canopies.

  1. Coded aperture coherent scatter imaging for breast cancer detection: a Monte Carlo evaluation

    Science.gov (United States)

    Lakshmanan, Manu N.; Morris, Robert E.; Greenberg, Joel A.; Samei, Ehsan; Kapadia, Anuj J.

    2016-03-01

    It is known that conventional x-ray imaging provides a maximum contrast between cancerous and healthy fibroglandular breast tissues of 3% based on their linear x-ray attenuation coefficients at 17.5 keV, whereas coherent scatter signal provides a maximum contrast of 19% based on their differential coherent scatter cross sections. Therefore in order to exploit this potential contrast, we seek to evaluate the performance of a coded- aperture coherent scatter imaging system for breast cancer detection and investigate its accuracy using Monte Carlo simulations. In the simulations we modeled our experimental system, which consists of a raster-scanned pencil beam of x-rays, a bismuth-tin coded aperture mask comprised of a repeating slit pattern with 2-mm periodicity, and a linear-array of 128 detector pixels with 6.5-keV energy resolution. The breast tissue that was scanned comprised a 3-cm sample taken from a patient-based XCAT breast phantom containing a tomosynthesis- based realistic simulated lesion. The differential coherent scatter cross section was reconstructed at each pixel in the image using an iterative reconstruction algorithm. Each pixel in the reconstructed image was then classified as being either air or the type of breast tissue with which its normalized reconstructed differential coherent scatter cross section had the highest correlation coefficient. Comparison of the final tissue classification results with the ground truth image showed that the coded aperture imaging technique has a cancerous pixel detection sensitivity (correct identification of cancerous pixels), specificity (correctly ruling out healthy pixels as not being cancer) and accuracy of 92.4%, 91.9% and 92.0%, respectively. Our Monte Carlo evaluation of our experimental coded aperture coherent scatter imaging system shows that it is able to exploit the greater contrast available from coherently scattered x-rays to increase the accuracy of detecting cancerous regions within the breast.

  2. Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views

    Science.gov (United States)

    Wei, Jun; Chan, Heang-Ping; Hadjiiski, Lubomir; Helvie, Mark A.; Zhou, Chuan; Lu, Yao

    2012-03-01

    DBT is one of the promising imaging modalities that may improve the sensitivity and specificity for breast cancer detection. We are developing a computer-aided detection (CADe) system for clustered microcalcifications (MC) in DBT. A data set of two-view DBTs from 42 breasts was collected with a GE prototype system. We investigated a 2D approach to MC detection using projection view (PV) images rather than reconstructed 3D DBT volume. Our 2D approach consisted of two major stages: 1) detecting individual MC candidates on each PV, and 2) correlating the MC candidates from the different PVs and detecting clusters in the breast volume. With the MC candidates detected by prescreening on PVs, a trained multi-channel (MCH) filter bank was used to extract signal response from each MC candidate. A ray-tracing process was performed to fuse the MCH responses and localize the MC candidates in 3D using the geometrical information of the DBT system. Potential MC clusters were then identified by dynamic clustering of the MCs in 3D. A two-fold cross-validation method was used to train and test the CADe system. The detection performance of clustered MCs was assessed by free receiver operating characteristic (FROC) analysis. It was found that the CADe system achieved a case-based sensitivity of 90% at an average false positive rate of 2.1 clusters per DBT volume. Our study demonstrated that the CADe system using 2D MCH filter bank is promising for detection of clustered MCs in DBT.

  3. The immunohistochemical detection of lymph node metastases from infiltrating lobular carcinoma of the breast.

    OpenAIRE

    Bussolati, G; Gugliotta, P; Morra, I; Pietribiasi, F.; Berardengo, E.

    1986-01-01

    Immunological markers improve specificity and accuracy of cell detection, therefore it is important to evaluate their usefulness in improving standard histological procedures. This study investigates whether immunocytochemical techniques increase the accuracy of detection, in axillary lymph nodes, of metastatic cells from infiltrating breast lobular carcinoma (ILC). Fifty cases of ILC reported to be node-negative were selected. New serial sections were cut from a total of 767 lymph nodes, sta...

  4. MR imaging as an additional screening modality for the detection of breast cancer in women aged 50-75 years with extremely dense breasts : The DENSE trial study design

    NARCIS (Netherlands)

    Emaus, Marleen J.; Bakker, Marije F.; Peeters, Petra H M; Loo, Claudette E.; Mann, Ritse M.; De Jong, Mathijn D F; Bisschops, Robertus H C; Veltman, Jeroen; Duvivier, Katya M.; Lobbes, Marc B I; Pijnappel, Ruud M.; Karssemeijer, Nico; De Koning, Harry J.; Van Den Bosch, Maurice A A J; Monninkhof, Evelyn M.; Mali, W.P.T.M.; Veldhuis, WB; Van Gils, Carla H.

    2015-01-01

    Women with extremely dense breasts have an increased risk of breast cancer and lower mammographic tumor detectability. Nevertheless, in most countries, these women are currently screened with mammography only. Magnetic resonance (MR) imaging has the potential to improve breast cancer detection at an

  5. MR Imaging as an Additional Screening Modality for the Detection of Breast Cancer in Women Aged 50-75 Years with Extremely Dense Breasts: The DENSE Trial Study Design

    NARCIS (Netherlands)

    Emaus, M.J.; Bakker, M.F.; Peeters, P.H.M.; Loo, C.E.; Mann, R.M.; Jong, M.D.E.; Bisschops, R.H.; Veltman, J.; Duvivier, K.M.; Lobbes, M.B.; Pijnappel, R.M.; Karssemeijer, N.; Koning, H.J. de; Bosch, M.A. van den; Monninkhof, E.M.; Mali, W.P.; Veldhuis, W.B.; Gils, C.H. van

    2015-01-01

    Women with extremely dense breasts have an increased risk of breast cancer and lower mammographic tumor detectability. Nevertheless, in most countries, these women are currently screened with mammography only. Magnetic resonance (MR) imaging has the potential to improve breast cancer detection at an

  6. Breast MRI in pregnancy-associated breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Shin Jung; Shin, Sang Soo [Dept. of of Radiology, Chonnam National University Hospital, Gwangju (Korea, Republic of); Lim, Hyo Soon; Baek, Jang Mi; Seon, Hyun Ju; Heo, Suk Hee; Kim, Jin Woong; Park, Min Ho [Chonnam National University Medical School, Chonnam National University Hwasun Hospital, Hwasun (Korea, Republic of)

    2017-03-15

    The purpose of this study was to evaluate the usefulness of MR imaging and to describe the MR imaging findings of pregnancy-associated breast cancer. From 2006 to 2013, MR images of 23 patients with pregnancy-associated breast cancer were retrospectively evaluated. MR images were reviewed to evaluate lesion detection and imaging findings of pregnancy-associated breast cancer. MR images were analyzed by using the Breast Imaging Reporting and Data System and an additional MR-detected lesion with no mammographic or sonographic abnormality was determined. MR imaging depicted breast cancer in all patients, even in marked background parenchymal enhancement. Pregnancy-associated breast cancer was seen as a mass in 20 patients and as non-mass enhancement with segmental distribution in 3 patients. The most common features of the masses were irregular shape (85%), non-circumscribed margin (85%), and heterogeneous enhancement (60%). An additional site of cancer was detected with MR imaging in 5 patients (21.7%) and the type of surgery was changed. Pregnancy-associated breast cancer was usually seen as an irregular mass with heterogeneous enhancement on MR images. Although these findings were not specific, MR imaging was useful in evaluating the disease extent of pregnancy-associated breast cancer.

  7. MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection.

    Science.gov (United States)

    Preece, Alan W; Craddock, Ian; Shere, Mike; Jones, Lyn; Winton, Helen L

    2016-07-01

    A microwave imaging system has been developed as a clinical diagnostic tool operating in the 3- to 8-GHz region using multistatic data collection. A total of 86 patients recruited from a symptomatic breast care clinic were scanned with a prototype design. The resultant three-dimensional images have been compared "blind" with available ultrasound and mammogram images to determine the detection rate. Images show the location of the strongest signal, and this corresponded in both older and younger women, with sensitivity of [Formula: see text], which was found to be maintained in dense breasts. The pathway from clinical prototype to clinical evaluation is outlined.

  8. Quantitative Digital Tomosynthesis Mammography for Improved Breast Cancer Detection and Diagnosis

    Science.gov (United States)

    2008-04-01

    reconstruction", Medical Physics , 34(9), 3603-3613, 2007. Conference Proceedings: 1. Y. Zhang, H.-P. Chan, Y.-T. Wu, B. Sahiner, C. Zhou, J. Wei, J. Ge...Wei, L. M. Hadjiiski, "Application of boundary detection information in breast tomosynthesis reconstruction", Medical Physics , 34(9), 3603-3613, 2007...application of Medical Physics , Vol. 34, No. 9, September 2007the 2D and 3D breast boundary information to DTM recon- struction in an effort to reduce

  9. Aptamer-Assisted Detection of the Altered Expression of Estrogen Receptor Alpha in Human Breast Cancer.

    Directory of Open Access Journals (Sweden)

    Rajesh Ahirwar

    Full Text Available An increase in the expression of estrogen receptors (ER and the expanded population of ER-positive cells are two common phenotypes of breast cancer. Detection of the aberrantly expressed ERα in breast cancer is carried out using ERα-antibodies and radiolabelled ligands to make decisions about cancer treatment and targeted therapy. Capitalizing on the beneficial advantages of aptamer over the conventional antibody or radiolabelled ligand, we have identified a DNA aptamer that selectively binds and facilitates the detection of ERα in human breast cancer tissue sections. The aptamer is identified using the high throughput sequencing assisted SELEX screening. Biophysical characterization confirms the binding and formation of a thermodynamically stable complex between the identified DNA aptamer (ERaptD4 and ERα (Ka = 1.55±0.298×108 M(-1; ΔH = 4.32×104±801.1 cal/mol; ΔS = -108 cal/mol/deg. Interestingly, the specificity measurements suggest that the ERaptD4 internalizes into ERα-positive breast cancer cells in a target-selective manner and localizes specifically in the nuclear region. To harness these characteristics of ERaptD4 for detection of ERα expression in breast cancer samples, we performed the aptamer-assisted histochemical analysis of ERα in tissue samples from breast cancer patients. The results were validated by performing the immunohistochemistry on same samples with an ERα-antibody. We found that the two methods agree strongly in assay output (kappa value = 0.930, p-value <0.05 for strong ERα positive and the ERα negative samples; kappa value = 0.823, p-value <0.05 for the weak/moderate ER+ve samples, n = 20. Further, the aptamer stain the ERα-positive cells in breast tissues without cross-reacting to ERα-deficient fibroblasts, adipocytes, or the inflammatory cells. Our results demonstrate a significant consistency in the aptamer-assisted detection of ERα in strong ERα positive, moderate ERα positive and ERα negative

  10. Ethernet-based Mass Volume Train Security Detection Network

    Directory of Open Access Journals (Sweden)

    D. Q. He

    2013-07-01

    Full Text Available As the existing train communication network transmission rate is low, large capacity status and fault diagnosis data, the event log data, passenger information which are stored in different vehicles equipments, it is difficult to realize fault diagnosis and intelligent maintenance efficiently and timely. Based on the train level and vehicle level Ethernet network, this paper will focus on network construction technology and real-time performance of mass volume onboard security detection network. The research results will improve control and network function of train.

  11. Birth weight, childhood body mass index, and height in relation to mammographic density and breast cancer

    DEFF Research Database (Denmark)

    Andersen, Zorana Jovanovic; Baker, Jennifer Lyn; Bihrmann, Kristine

    2014-01-01

    High breast density, a strong predictor of breast cancer may be determined early in life. Childhood anthropometric factors have been related to breast cancer and breast density, but rarely simultaneously. We examined whether mammographic density (MD) mediates an association of birth weight...

  12. The Study for Results of Complex Cystic Breast Masses by Biopsy on Ultrasound

    Energy Technology Data Exchange (ETDEWEB)

    Kang, Hye Kyoung [Dept. of Radiology, Yangji General Hospital, Kwangju (Korea, Republic of); Dong, Kyung Rae [Dept. of Radiological Technology, Gwangju Health College, Kwangju (Korea, Republic of)

    2008-06-15

    We examined the roles of Ultrasonography conductors by analyzing the results of tissue biopsy of complex cystic masse under the guidance of breast US. This study was performed to a group of 178 who showed breast US indicating complex cystic masses among 342 patients who were definitely diagnosed by tissue biopsies and operations in our hospital from June 30th, 2003 to June 30th, 2007. The evaluation of tissues around, calcification, the distribution state of blood flow were excluded from the analysis subjects and logic 200 made by GE corporation and gun for core biopsy(Kimal corp., K7/MBD23) were used in this study. The biopsy results of 178 subjects showed FCC (fibrocystic change)(n=56 : 31.4%), Fibrosis (n=41 : 23.0%), Fibroadenoma (n=20 : 11.2%), Epithelial hyperplasia (n=17 : 9.6%), Carcinoma (n=15 : 8.4%), Fibroadipose (n=8 : 4.5%), Sclerosing adenosis (n=7 : 3.9%), Duct ectasia (n=5 : 2.8%), Papiloma (n=5 : 2.8%), and Fat necrosis (n=1 : 0.6%), Hemangioma (n=1 : 0.6%), Abscess (n=1 : 0.6%), Dystrophic calcification(n=1 : 0.6%). The US showed that the results of the tissue biopsy of complex cystic masses were mostly carcinoma(8.4%). Most of them were benign and only 9.6% of epithelial hyperplasia which has high progression rate into malignant tumors epidemically showed malignancy. Most of them were included in the spectrum of fibrous cystic nodule. Even though these results are confirmed, further studies are required. As a result, a nodule which is not certified by US should be right to take the tissue biopsy, but if it's difficult due to patients or another reasons, re-check tests in three months are required. And systemic ultrasonography evaluation should be well recognized to conduct more careful and specific tests.

  13. Detection of incidental vertebral fractures in breast imaging: the potential role of MR localisers

    Energy Technology Data Exchange (ETDEWEB)

    Bazzocchi, Alberto [Orthopaedic Institute, Diagnostic and Interventional Radiology, Bologna (Italy); Bologna Univ. (Italy). Imaging Div.; Spinnato, Paolo; Garzillo, Giorgio; Ciccarese, Federica [Bologna Univ. (Italy). Imaging Div.; Albisinni, Ugo; Mignani, Stefano; Battista, Giuseppe [Orthopaedic Institute, Diagnostic and Interventional Radiology, Bologna (Italy); Rossi, Cristina [Parma Univ. (Italy). Imaging Div.

    2012-12-15

    Incidental diagnosis of vertebral fractures (VFs) may represent a key point in the assessment of bone health status. Our purpose was to retrospectively evaluate localisation sequences (MR-loc) of breast MRI as a potential tool to detect osteoporotic VFs. MR-loc sagittal images of 856 breast MRIs were reviewed by three expert musculoskeletal radiologists with a semiquantitative approach to detecting VFs. Anamnesis and data of patients were investigated. Official breast MRI and previous imaging reports were checked to understand if VFs or other relevant bone findings were known in patients' clinical history. A total of 780/856 female patients (91.1 %) undergoing MRI for oncological reasons and 76/856 (8.9 %) with non-oncological aims were recruited into the study (54.7 {+-} 12.2 years old, 21-89 years); 57/856 MR-loc images (6.7 %) were considered inadequate for diagnostic purposes and were excluded from the analysis. MR-loc detected VFs in 71/799 patients (8.9 %). VFs were neither reported nor previously known in the clinical history of 63/71 patients (88.7 %; P < 0.001). No mention of VFs was found in any breast MR reports. In four patients MR-loc identified vertebral metastases. A systematic evaluation of MR-loc may offer additional clinical information to prevent unrecognised VFs. MR-loc may screen for VFs in other imaging settings. (orig.)

  14. Investigation of near infrared autofluorescence imaging for the detection of breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Demos, S G; Bold, R; White, R d; Ramsamooj, R

    2005-08-19

    Detection of breast cancer in fresh tissue obtained from surgery is investigated using Near-infrared autofluorescence imaging under laser excitation at 532-nm and 632.8-nm. The differences in intensity between the three main components of breast tissue (cancer, fibrous and adipose) are estimated and compared to those obtained from cross-polarized light scattering images recorded under polarized illumination at 700-nm. The optical spectroscopic images for each tissue sample were subsequently compared with the histopathology slides. The experimental results indicate that the intensity of the near-infrared emission is considerably different in breast cancer compared to that of the adjacent non-neoplastic tissues (adipose and fibrous tissue). The experimental results suggest that 632.8-nm excitation offers key advantages compared to 532-nm excitation.

  15. Feature selection and definition for contours classification of thermograms in breast cancer detection

    Science.gov (United States)

    Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł

    2016-09-01

    This contribution introduces the method of cancer pathologies detection on breast skin temperature distribution images. The use of thermosensitive foils applied to the breasts skin allows to create thermograms, which displays the amount of infrared energy emitted by all breast cells. The significant foci of hyperthermia or inflammation are typical for cancer cells. That foci can be recognized on thermograms as a contours, which are the areas of higher temperature. Every contour can be converted to a feature set that describe it, using the raw, central, Hu, outline, Fourier and colour moments of image pixels processing. This paper defines also the new way of describing a set of contours through theirs neighbourhood relations. Contribution introduces moreover the way of ranking and selecting most relevant features. Authors used Neural Network with Gevrey`s concept and recursive feature elimination, to estimate feature importance.

  16. Impedimetric detection of mutant p53 biomarker-driven metastatic breast cancers under hyposmotic pressure.

    Science.gov (United States)

    Shi, Menglu; Shtraizent, Nataly; Polotskaia, Alla; Bargonetti, Jill; Matsui, Hiroshi

    2014-01-01

    In cancer cells, the oncogenic mutant p53 (mtp53) protein is present at high levels and gain-of-function (GOF) activities with more expression of mtp53 proteins contribute to tumor growth and metastasis. Robust analytical approaches that probe the degree of metastasis of cancer cells in connection with the mtp53 activity will be extremely useful not only for establishing a better cancer prognosis but also understanding the fundamental mechanism of mtp53 oncogenic action. Here we assessed the influence of mtp53 in breast cancers to the mechanical property of breast cancer cells. Recently, ovarian and kidney cancer cell lines have been shown to have higher cellular elasticity as compared to normal cells assessed by monitoring the degree of deformation under hyposmotic pressure. To make fast detection in large scale, the impedance measurement was applied to monitor the swelling ratio of cells with time. The results showed that knockdown of mtp53 leads to decrease in cell swelling. In addition, by means of two types of impedimetric detection systems we consistently detected enhancement of impedance signal in mtp53-expressing breast cancer cells. Based on this observation we hypothesize that highly expressed mtp53 in metastatic mutant breast cancers can promote tumor progression by making cells more deformable and easier to spread out through extracellular matrix. The identification via the electric measurement can be accomplished within 10 minutes. All results in this report suggest that electric probing for the extent of the mtp53 expression of breast cancer cells may serve as a meaningful fingerprint for the cancer diagnostics, and this outcome will also have an important clinical implication for the development of mtp53-based targeting for tumor detection and treatment.

  17. Simulation study of an X-ray diffraction system for breast tumor detection

    Science.gov (United States)

    Marticke, F.; Montémont, G.; Paulus, C.; Michel, O.; Mars, J. I.; Verger, L.

    2017-09-01

    X-ray diffraction (XRD) is a powerful technique used to determine the molecular structure of biological tissues. In breast tissues for example, the scattering signatures of dense fibroglandular tissue and carcinoma have been shown to be significantly different. In this study, XRD was used as a second control level when conventional mammography results were unclear, for instance because of overly high breast density. A system optimized for this issue, called multifocal XRD, was developed combining energy dispersive spectral information at different scattering angles. This system allows depth-imaging in one go but needs an x,y-direction scan to image the region conventional mammography identified as suspect. The scan-time for about 10 cm3 with an incident flux of about 4.8·107 photons per second would be around 2 s. For this study, breast phantoms with and without cancerous nodule were simulated to assess the separation power of the method and to determine the radiation dose required to obtain nearly ideal separation. For tumors situated in the center of the breast, the required dose was only about 0.3 mGy, even for breasts with high density. The tumor position was shown to have a low impact on detectability provided it remained in a zone where the system was sufficiently sensitive. The influence of incident spectrum maximum energy was also studied. The required dose remained very low with any of the incident spectra tested. Finally, an image slice was reconstructed in the x-direction and showed that the system can detect the presence of a small tumor (4 mm). Hence, XRD is a very promising tool to reduce the number of unnecessary invasive breast biopsies.

  18. Does adjuvant radiation therapy benefit women with small mammography-detected breast cancers?

    Science.gov (United States)

    Jerzak, K.; Dudalski, N.; Pritchard, K.; Sun, P.; Narod, S.A.

    2017-01-01

    Background Women with small nonpalpable breast tumours have an excellent prognosis. The benefit of radiotherapy in this group of low-risk women is unknown. Methods A cohort of 1595 women with stages i–iii invasive breast cancer treated with breast-conserving surgery were followed for local recurrence. Using t-tests, baseline demographic data and tumour characteristics were compared for the women who had palpable (n = 1023) and mammography-detected (n = 572) breast cancers. The 15-year actuarial risk of local recurrence was estimated using a Kaplan–Meier method, stratified for adjuvant radiation therapy (yes or no), tumour palpability (palpable or not), and tumour size (≤1 cm or >1 cm). Hazard ratios (hrs) and 95% confidence intervals (95% cis) were calculated using a multivariate Cox regression model. Results were considered statistically significant if 2-tailed p values were less than 0.05. Results Among women with a nonpalpable tumour, the 15-year actuarial rates of local recurrence were, respectively, 13.9% and 18.3% for those treated and not treated with adjuvant radiation therapy (hr: 0.65; 95%ci: 0.40 to 1.06; p = 0.08). Among women with small nonpalpable breast cancers (≤1.0 cm), the rates were 14.6% and 13.4% respectively (p = 0.67). The absolute reduction in 15-year local recurrence was 11.0% for women with palpable tumours. Conclusions Our results suggest that women with small (<1 cm) screen-detected nonpalpable breast cancers likely derive little benefit from adjuvant radiotherapy; however, an adequately powered randomized trial would be required to make definitive conclusions. PMID:28270722

  19. A research about breast cancer detection using different neural networks and K-MICA algorithm.

    Science.gov (United States)

    Kalteh, A A; Zarbakhsh, Payam; Jirabadi, Meysam; Addeh, Jalil

    2013-01-01

    Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA) and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC) database and the simulation results show that the recommended system has high accuracy.

  20. A research about breast cancer detection using different neural networks and K-MICA algorithm

    Directory of Open Access Journals (Sweden)

    A A Kalteh

    2013-01-01

    Full Text Available Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC database and the simulation results show that the recommended system has high accuracy.

  1. Breast cancer in the 21st century: from early detection to new therapies.

    Science.gov (United States)

    Merino Bonilla, J A; Torres Tabanera, M; Ros Mendoza, L H

    2017-07-14

    The analysis of the causes that have given rise to a change in tendency in the incidence and mortality rates of breast cancer in the last few decades generates important revelations regarding the role of breast screening, the regular application of adjuvant therapies and the change of risk factors. The benefits of early detection have been accompanied by certain adverse effects, even in terms of an excessive number of prophylactic mastectomies. Recently, several updates have been published on the recommendations in breast cancer screening at an international level. On the other hand, the advances in genomics have made it possible to establish a new molecular classification of breast cancer. Our aim is to present an updated overview of the epidemiological situation of breast cancer, as well as some relevant issues from the point of view of diagnosis, such as molecular classification and different strategies for both population-based and opportunistic screening. Copyright © 2017 SERAM. Publicado por Elsevier España, S.L.U. All rights reserved.

  2. Simulation modeling of change to breast cancer detection age eligibility recommendations in Ontario, 2002-2021.

    Science.gov (United States)

    Hunter, Duncan J W; Drake, Sean M; Shortt, Samuel E D; Dorland, John L; Tran, Ninh

    2004-01-01

    The purpose of this project was to demonstrate the development and use of a decision support tool based on simulation modeling of breast cancer screening to evaluate the implications for the provision of health services and the economic impact of extending routine radiographic screening for breast cancer to women in the 40-49 age group between 2002 and 2021. The main method was computer simulation with a Markov model that used published estimates of population size by age group, breast cancer prevalence and incidence, screening program participation rate, sensitivity and specificity of the screening test and diagnostic test, stage transition probabilities, directed diagnosis rates and costs. The model predicted that changes to age eligibility requirements would result in the detection of an additional 6610 women with breast cancer in Ontario requiring treatment, at an additional cost of 795 Canadian per case. These costs include those related to screening, diagnosis and initial treatment and apply to the 20-year period. The model provided a useful decision support tool for those planning and implementing breast cancer screening programs.

  3. Proficient Feature Extraction Strategy for Performance Enhancement of NN Based Early Breast Tumor Detection

    Directory of Open Access Journals (Sweden)

    Khondker Jahid Reza

    2014-01-01

    Full Text Available Ultra Wideband is one of the promising microwave imaging techniques for breast tumor prognosis. The basic principle of tumor detection depends on the dielectric properties discrepancies between healthy and tumorous tissue. Usually, the tumor affected tissues scatter more signal than the healthy one and are used for early tumor detection through received pulses. Feedforward backpropagation neural network(NN was so far used for some research works by showing its detection efficiency up to 1mm (radius size with 95.8% accuracy. This paper introduces an efficient feature extraction method to further improve the performance by considering four main features of backpropagation NN. This performance is being increased to 99.99%. This strategy is well justified for classifying the normal and tumor affected breast with 100% accuracy in its early stage. It also enhances the training and testing performances by reducing the required duration. The overall performance is 99.99% verified by using thirteen different tumor sizes.

  4. The Diagnostic Value of Superb Microvascular Imaging (SMI) in Detecting Blood Flow Signals of Breast Lesions: A Preliminary Study Comparing SMI to Color Doppler Flow Imaging.

    Science.gov (United States)

    Ma, Yan; Li, Gang; Li, Jing; Ren, Wei-dong

    2015-09-01

    The correlation between color Doppler flow imaging (CDFI) and Superb Microvascular Imaging (SMI) for detecting blood flow in breast lesions was investigated, as was the diagnostic value of SMI in differentiating benign from malignant breast lesions.These lesions were evaluated using both CDFI and SMI according to Adler's method. Pathologic examination showed 57 malignant lesions and 66 benign lesions. The number of blood vessels in a single mass was detected by 2 techniques (SMI and CDFI), and the difference between the 2 values (SMI-CDFI) was calculated. The optimal threshold for the diagnosis of malignant neoplasms and the diagnostic performances of SMI, CDFI, and SMI-CDFI were calculated.For the total lesions and malignant lesions alone, the difference between SMI and CDFI for detecting blood flow was significant (P < 0.01), but the difference was not significant for benign lesions (P = 0.15). The area under the receiver operating characteristic curve was 0.73 (95% confidence interval [CI]: 0.64-0.82) for CDFI; 0.81 (95% CI: 0.74-0.89) for SMI; and 0.89 (95% CI: 0.82-0.95) for SMI-CDFI. Furthermore, the modality of "SMI-CDFI" showed the best diagnostic performance.SMI provides further microvessel information in breast lesions. The diagnostic modality of "SMI-CDFI" can improve the diagnostic performance of ultrasound in the differentiation between benign and malignant masses.

  5. BPDA - A Bayesian peptide detection algorithm for mass spectrometry

    Directory of Open Access Journals (Sweden)

    Braga-Neto Ulisses

    2010-09-01

    Full Text Available Abstract Background Mass spectrometry (MS is an essential analytical tool in proteomics. Many existing algorithms for peptide detection are based on isotope template matching and usually work at different charge states separately, making them ineffective to detect overlapping peptides and low abundance peptides. Results We present BPDA, a Bayesian approach for peptide detection in data produced by MS instruments with high enough resolution to baseline-resolve isotopic peaks, such as MALDI-TOF and LC-MS. We model the spectra as a mixture of candidate peptide signals, and the model is parameterized by MS physical properties. BPDA is based on a rigorous statistical framework and avoids problems, such as voting and ad-hoc thresholding, generally encountered in algorithms based on template matching. It systematically evaluates all possible combinations of possible peptide candidates to interpret a given spectrum, and iteratively finds the best fitting peptide signal in order to minimize the mean squared error of the inferred spectrum to the observed spectrum. In contrast to previous detection methods, BPDA performs deisotoping and deconvolution of mass spectra simultaneously, which enables better identification of weak peptide signals and produces higher sensitivities and more robust results. Unlike template-matching algorithms, BPDA can handle complex data where features overlap. Our experimental results indicate that BPDA performs well on simulated data and real MS data sets, for various resolutions and signal to noise ratios, and compares very favorably with commonly used commercial and open-source software, such as flexAnalysis, OpenMS, and Decon2LS, according to sensitivity and detection accuracy. Conclusion Unlike previous detection methods, which only employ isotopic distributions and work at each single charge state alone, BPDA takes into account the charge state distribution as well, thus lending information to better identify weak peptide

  6. Ultrasonographic evaluation of fibroadenoma in the breast: primary signs of mass

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Choon Sik; Kim, Mi Hye; Ahn, Chang Soo; Oh, Ki Keun [College of Medicine, Yonsei University, Seoul (Korea, Republic of)

    1994-01-15

    To evaluate the ultrasonomammographic findings of breast fibroadenoma. We evaluated the ultrasonographic findings of histopathologically proved 135 fibroadenomas in 103 patients from January 1986 to September 1990, retrospectively. The ultrasonographic examinations were performed with a hand held linear array 5MHz transducer (Acuson 128(USA). Aloka 650, 280(Japan)). Asonopad was also used during the examinations. The common ultrasonographic findings of fibroadenomas usually showed smooth contour in 120 lesions(88.9%), oval or round shape in 114 lesions(84.4%), uniform homogeneous echogenecity in 106 lesions(78.5%), intermediate hypoechoic internal echo pattern in 105 lesions(77.8%), thin boundary echo in 117 lesions(86.7%), lateral shadowings in 97 lesions(72%), and posterior acoustic enhancement in 56 lesions(41%). The longitudinal/transverse ratio of fibroadenoma was revealed between 0.2 and 1.14 (mean 0.58) and usually under 1.0 (68.9%). Finally, most of fibroadenomas are easily diagnosed by ultrasonography but if differential diagnosis from malignant breast mass is difficult due to atypical appearance, other combined modalities such as filmmammography, fine needle aspiration biopsy and MRI are necessary.

  7. Usefulness of MRI in detecting occult breast cancer associated with Paget's disease of the nipple-areolar complex.

    Science.gov (United States)

    Echevarria, J J; Lopez-Ruiz, J A; Martin, D; Imaz, I; Martin, M

    2004-12-01

    MRI allows for the detection of mammographically and clinically occult breast neoplasms. We analysed the ability of MRI to detect occult breast cancer in three patients with Paget's disease of the nipple-areolar complex, proven histologically. In all three cases we observed differences in the morphological and dynamic features of healthy and pathological nipples, and we also found enhancement foci in breast tissue, with suspicious kinetic and morphological characteristics, which in the case of two patients corresponded to ductal carcinoma in situ. The detection and location with MRI of underlying neoplastic foci may be of help in choosing the most reasonable and conservative treatment in these patients.

  8. AGR3 in breast cancer: prognostic impact and suitable serum-based biomarker for early cancer detection.

    Science.gov (United States)

    Garczyk, Stefan; von Stillfried, Saskia; Antonopoulos, Wiebke; Hartmann, Arndt; Schrauder, Michael G; Fasching, Peter A; Anzeneder, Tobias; Tannapfel, Andrea; Ergönenc, Yavuz; Knüchel, Ruth; Rose, Michael; Dahl, Edgar

    2015-01-01

    Blood-based early detection of breast cancer has recently gained novel momentum, as liquid biopsy diagnostics is a fast emerging field. In this study, we aimed to identify secreted proteins which are up-regulated both in tumour tissue and serum samples of breast cancer patients compared to normal tissue and sera. Based on two independent tissue cohorts (n = 75 and n = 229) and one serum cohort (n = 80) of human breast cancer and healthy serum samples, we characterised AGR3 as a novel potential biomarker both for breast cancer prognosis and early breast cancer detection from blood. AGR3 expression in breast tumours is significantly associated with oestrogen receptor α (Pbreast tumours (multivariate hazard ratio: 2.186, 95% CI: 1.008-4.740, Pbreast cancer patients (n = 40, mainly low stage tumours) compared to healthy controls (n = 40). To develop a suitable biomarker panel for early breast cancer detection, we measured AGR2 protein in human serum samples in parallel. The combined AGR3/AGR2 biomarker panel achieved a sensitivity of 64.5% and a specificity of 89.5% as shown by receiver operating characteristic (ROC) curve statistics. Thus our data clearly show the potential usability of AGR3 and AGR2 as biomarkers for blood-based early detection of human breast cancer.

  9. Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: A three-step approach

    NARCIS (Netherlands)

    Heidema, A.G.; Nagelkerke, N.

    2008-01-01

    To discriminate between breast cancer patients and controls, we used a three-step approach to obtain our decision rule. First, we ranked the mass/charge values using random forests, because it generates importance indices that take possible interactions into account. We observed that the top ranked

  10. Modeling of errors in Nakagami imaging: illustration on breast mass characterization.

    Science.gov (United States)

    Larrue, Aymeric; Noble, J Alison

    2014-05-01

    Nakagami imaging is an attractive tissue characterization method, as the parameter estimated at each location is related to properties of the tissues. The application to clinical ultrasound images is problematic, as the estimation of the parameters is disturbed by the presence of complex structures. We propose to consider separately the different aspects potentially affecting the value of the Nakagami parameters and quantify their effects on the estimation. This framework is applied to the classification of breast masses. Quantitative parameters are computed on two groups of ultrasound images of benign and malignant tumors. A statistical analysis of the result indicated that the previously observed difference between average values of the Nakagami parameters is explained mostly by estimation errors. In the future, new methods for reliable computation of Nakagami parameters need to be developed, and factors of error should be considered in studies using Nakagami parameters.

  11. Localization of tamoxifen in human breast cancer tumors by MALDI mass spectrometry imaging.

    Science.gov (United States)

    Végvári, Ákos; Shavkunov, Alexander S; Fehniger, Thomas E; Grabau, Dorthe; Niméus, Emma; Marko-Varga, György

    2016-03-01

    Tamoxifen is used in endocrine treatment of breast cancer to inhibit estrogen signaling. A set of stratified ER-positive and ER-negative tumor sections was subjected to manual deposition of tamoxifen solution in order to investigate its spatial distribution upon exposure to interaction within thin tissue sections. The localization of tamoxifen in tumor sections was assessed by matrix assisted laser deposition/ionization mass spectrometry imaging. The images of extracted ion maps were analyzed for comparison of signal intensity distributions. The precursor ion of tamoxifen (m/z 372.233) displayed heterogeneous signal intensity distributions in histological compartments of tumor tissue sections. The levels of tamoxifen in tumor cells compared with stroma were higher in ER-positive tissues, whereas ER-negative tissue sections showed lower signal intensities in tumor cells. The experimental model was successfully applied on frozen tumor samples allowing for differentiation between ER groups based on distribution of tamoxifen.

  12. Early detection of breast cancer: a molecular optical imaging approach using novel estrogen conjugate fluorescent dye

    Science.gov (United States)

    Bhattacharjee, Shubhadeep; Jose, Iven

    2011-02-01

    Estrogen induced proliferation of mutant cells is widely understood to be the one of major risk determining factor in the development of breast cancer. Hence determination of the Estrogen Receptor[ER] status is of paramount importance if cancer pathogenesis is to be detected and rectified at an early stage. Near Infrared Fluorescence [NIRf] Molecular Optical Imaging is emerging as a powerful tool to monitor bio-molecular changes in living subjects. We discuss pre-clinical results in our efforts to develop an optical imaging diagnostic modality for the early detection of breast cancer. We have successfully carried out the synthesis and characterization of a novel target-specific NIRf dye conjugate aimed at measuring Estrogen Receptor[ER] status. The conjugate was synthesized by ester formation between 17-β estradiol and a hydrophilic derivative of Indocyanine Green (ICG) cyanine dye, bis-1,1-(4-sulfobutyl) indotricarbocyanine-5-carboxylic acid, sodium salt. In-vitro studies regarding specific binding and endocytocis of the dye performed on ER+ve [MCF-7] and control [MDA-MB-231] adenocarcinoma breast cancer cell lines clearly indicated nuclear localization of the dye for MCF-7 as compared to plasma level staining for MDA-MB-231. Furthermore, MCF-7 cells showed ~4.5-fold increase in fluorescence signal intensity compared to MDA-MB-231. A 3-D mesh model mimicking the human breast placed in a parallel-plate DOT Scanner is created to examine the in-vivo efficacy of the dye before proceeding with clinical trials. Photon migration and florescence flux intensity is modeled using the finite-element method with the coefficients (quantum yield, molar extinction co-efficient etc.) pertaining to the dye as obtained from photo-physical and in-vitro studies. We conclude by stating that this lipophilic dye can be potentially used as a target specific exogenous contrast agent in molecular optical imaging for early detection of breast cancer.

  13. A resampling-based meta-analysis for detection of differential gene expression in breast cancer

    Directory of Open Access Journals (Sweden)

    Ergul Gulusan

    2008-12-01

    -time qRT-PCR supported the meta-analysis results. Conclusion The proposed meta-analysis approach has the ability to detect a set of differentially expressed genes with the least amount of within-group variability, thus providing highly stable gene lists for class prediction. Increased statistical power and stringent filtering criteria used in the present study also make identification of novel candidate genes possible and may provide further insight to improve our understanding of breast cancer development.

  14. Impact on survival of early detection of isolated breast recurrences after the primary treatment for breast cancer : a meta-analysis

    NARCIS (Netherlands)

    Lu, W.L.; Jansen, L.; Post, W.J.; Bonnema, J.; van de Velde, J.C.; de Bock, G.H.

    Purpose The purpose was to establish the impact on survival of early detection of a local recurrence of breast cancer as compared to late detection. Design A meta-analysis was carried out using Cochrane review manager software (RevMan version 4.2). Studies were included if women were treated for

  15. Detection of Soluble B7-H4 Molecules in Serum of Patients with Breast Cancer and its Clinical Signiifcance

    Institute of Scientific and Technical Information of China (English)

    Chen Junjun; Shi Hongbing; Zheng Xiao; Cheng Gui; Xie Jun; Chen Lujun; Jiang Jingting; Wu Changping

    2013-01-01

    Objective:To investigate the expression of soluble B7-H4 molecules (soluble B7-H4, sB7-H4) in serum of patients with breast cancer and its clinical signiifcance. Methods:Seventy patients with breast cancer, 41 patients with benign breast disease and 28 healthy females were respectively selected as breast cancer group, benign control group and healthy control group. Enzyme-linked immunosorbent assay (ELISA) was applied to detect the content of serum sB7-H4 in three groups, and the clinical correlation with content of serum sB7-H4 in patients with breast cancer was analyzed. Besides, the expression of B7-H4 mRNA and proteins in breast cancer tissue and normal tissue adjacent to cancer was detected respectively with polymerase chain reaction (PCR) and immunohistochemical method. Results:The content of serum sB7-H4 in breast cancer group was obviously higher than in benign control group (U = 844.0, P Conclusion:In serum of patients with breast cancer, the content of sB7-H4 is increased notably and related to lymph node metastasis, hence it can be considered as a potential serum marker in the diagnosis and treatment of breast cancer.

  16. Comparison of digital mammography and digital breast tomosynthesis in the detection of architectural distortion.

    Science.gov (United States)

    Dibble, Elizabeth H; Lourenco, Ana P; Baird, Grayson L; Ward, Robert C; Maynard, A Stanley; Mainiero, Martha B

    2017-07-14

    To compare interobserver variability (IOV), reader confidence, and sensitivity/specificity in detecting architectural distortion (AD) on digital mammography (DM) versus digital breast tomosynthesis (DBT). This IRB-approved, HIPAA-compliant reader study used a counterbalanced experimental design. We searched radiology reports for AD on screening mammograms from 5 March 2012-27 November 2013. Cases were consensus-reviewed. Controls were selected from demographically matched non-AD examinations. Two radiologists and two fellows blinded to outcomes independently reviewed images from two patient groups in two sessions. Readers recorded presence/absence of AD and confidence level. Agreement and differences in confidence and sensitivity/specificity between DBT versus DM and attendings versus fellows were examined using weighted Kappa and generalised mixed modeling, respectively. There were 59 AD patients and 59 controls for 1,888 observations (59 × 2 (cases and controls) × 2 breasts × 2 imaging techniques × 4 readers). For all readers, agreement improved with DBT versus DM (0.61 vs. 0.37). Confidence was higher with DBT, p = .001. DBT achieved higher sensitivity (.59 vs. .32), p .90). DBT achieved higher positive likelihood ratio values, smaller negative likelihood ratio values, and larger ROC values. DBT decreases IOV, increases confidence, and improves sensitivity while maintaining high specificity in detecting AD. • Digital breast tomosynthesis decreases interobserver variability in the detection of architectural distortion. • Digital breast tomosynthesis increases reader confidence in the detection of architectural distortion. • Digital breast tomosynthesis improves sensitivity in the detection of architectural distortion.

  17. [The social representation that adolescents from Jalisco, Mexico have of early detection of breast cancer].

    Science.gov (United States)

    Tapia Curiel, Amparo; Villaseñor Farías, Martha; Lidia Nuño Gutiérrez, Bertha; Rodríguez Carlos, Aída Araceli; Salas González, Efraín; López López, José Luis

    2014-10-01

    To describe the social representation that adolescents from Jalisco, Mexico, have of early detection of breast cancer. Qualitative cross, analytical interpretative and based on the theory of social representations. Non-probability sampling. Contact schools in basic education level of 7municipalities of the State of Jalisco, Mexico, through various government and educational institutions. A hundred thirty five schooled adolescents, men and women. Interview with 12 focus group 8-12participants and 1 with 18participants. The interviews were transcribed in Atlas Ti program version 4.1 for a semiotic analysis to identify components of social representation. The precocious detection linked itself to the decrease of deaths for cancer of breast, long treatments and mastectomy, but little coverage was perceived to the mammary health of the teenager. They refer as limiter elements of the precocious detection the aspects of kind, psychological and of access to the information and services of health; since facilitators there was mentioned the transition of the limiter elements to facilitators. A favorable panorama appears on the level of awareness of the teenagers on his mammary health, identifying as a sector highly sensitive to the information about cancer of breast and with disposition to effect actions of early detection; there are identified as important challenge the generation of campaigns, educational materials and spaces of health focused on the teenager. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.

  18. [Usefulness and risks of routine mammography for the detection of breast cancer].

    Science.gov (United States)

    Hernández-Valencia, Marcelino; Hernández-Quijano, Tomás; Zárate, Arturo; Saucedo, Renata

    2014-01-01

    It has been accepted that preclinicall detection of breast cancer by means of the routine practice of mammography could discover the disease at its initial stage; therefore, practicing a mammography annually became widespread as a preventive health measure to diagnose the disease and prevent death due to breast cancer. Over time, the benefit of detection tests has been questioned and demonstration of their benefit, as well as that of the undesirable effects they might cause, has been demanded. There is recent information with regard to an absence of difference in terms of breast cancer mortality as final index between women with or without routine mammography. Additionally, a 20 % frequency has been observed in false-positive diagnoses, with high numbers of women undergoing unnecessary diagnostic procedures due to suspicion of a non-clinically apparent presumed cancer. In Mexico, from 2004 on, the popularity of mammography to detect and effectively cure cancer has increased. Acceptance can be attributted to how easily detection campaigns can be promoted, since most women accept that mastography can offer the opportunity of receiving an early treatment that reduces dissemination and prevents early mortality. The age at which it is convenient to perform the first mammography, how frequently it should be repeated and even the age for its discontinuation is still under debate and no consensus has been reached.

  19. Imaging of Her2-targeted magnetic nanoparticles for breast cancer detection: comparison of SQUID-detected magnetic relaxometry and MRI.

    Science.gov (United States)

    Adolphi, Natalie L; Butler, Kimberly S; Lovato, Debbie M; Tessier, T E; Trujillo, Jason E; Hathaway, Helen J; Fegan, Danielle L; Monson, Todd C; Stevens, Tyler E; Huber, Dale L; Ramu, Jaivijay; Milne, Michelle L; Altobelli, Stephen A; Bryant, Howard C; Larson, Richard S; Flynn, Edward R

    2012-01-01

    Both magnetic relaxometry and magnetic resonance imaging (MRI) can be used to detect and locate targeted magnetic nanoparticles, noninvasively and without ionizing radiation. Magnetic relaxometry offers advantages in terms of its specificity (only nanoparticles are detected) and the linear dependence of the relaxometry signal on the number of nanoparticles present. In this study, detection of single-core iron oxide nanoparticles by superconducting quantum interference device (SQUID)-detected magnetic relaxometry and standard 4.7 T MRI are compared. The nanoparticles were conjugated to a Her2 monoclonal antibody and targeted to Her2-expressing MCF7/Her2-18 (breast cancer cells); binding of the nanoparticles to the cells was assessed by magnetic relaxometry and iron assay. The same nanoparticle-labeled cells, serially diluted, were used to assess the detection limits and MR relaxivities. The detection limit of magnetic relaxometry was 125 000 nanoparticle-labeled cells at 3 cm from the SQUID sensors. T(2)-weighted MRI yielded a detection limit of 15 600 cells in a 150 µl volume, with r(1) = 1.1 mm(-1) s(-1) and r(2) = 166 mm(-1) s(-1). Her2-targeted nanoparticles were directly injected into xenograft MCF7/Her2-18 tumors in nude mice, and magnetic relaxometry imaging and 4.7 T MRI were performed, enabling direct comparison of the two techniques. Co-registration of relaxometry images and MRI of mice resulted in good agreement. A method for obtaining accurate quantification of microgram quantities of iron in the tumors and liver by relaxometry was also demonstrated. These results demonstrate the potential of SQUID-detected magnetic relaxometry imaging for the specific detection of breast cancer and the monitoring of magnetic nanoparticle-based therapies.

  20. Body Mass Index and Breast Cancer Risk According to Postmenopausal Estrogen-Progestin Use and Hormone Receptor Status

    Science.gov (United States)

    Munsell, Mark F.; Sprague, Brian L.; Berry, Donald A.; Chisholm, Gary; Trentham-Dietz, Amy

    2014-01-01

    To assess the joint relationships among body mass index, menopausal status, and breast cancer according to breast cancer subtype and estrogen-progestin medication use, we conducted a meta-analysis of 89 epidemiologic reports published in English during 1980–2012 identified through a systematic search of bibliographic databases. Pooled analysis yielded a summary risk ratio of 0.78 (95% confidence interval (CI): 0.67, 0.92) for hormone receptor–positive premenopausal breast cancer associated with obesity (body mass index (weight (kg)/height (m)2) ≥30 compared with Obesity was associated with a summary risk ratio of 1.39 (95% CI: 1.14, 1.70) for receptor-positive postmenopausal breast cancer. For receptor-negative breast cancer, the summary risk ratios of 1.06 (95% CI: 0.70, 1.60) and 0.98 (95% CI: 0.78, 1.22) associated with obesity were null for both premenopausal and postmenopausal women, respectively. Elevated postmenopausal breast cancer risk ratios associated with obesity were limited to women who never took estrogen-progestin therapy, with risk ratios of 1.42 (95% CI: 1.30, 1.55) among never users and 1.18 (95% CI: 0.98, 1.42) among users; too few studies were available to examine this relationship according to receptor subtype. Future research is needed to confirm whether obesity is unrelated to receptor-negative breast cancer in populations of postmenopausal women with low prevalence of hormone medication use. PMID:24375928

  1. Time-of-flight mass spectrometry for explosives trace detection

    Science.gov (United States)

    Pettersson, Anna; Elfving, Anders; Elfsberg, Mattias; Hurtig, Tomas; Johansson, Niklas; Al-Khalili, Ahmed; Käck, Petra; Wallin, Sara; Östmark, Henric

    2012-06-01

    This paper presents the ongoing development of a laser ionization mass spectrometric system to be applied for screening for security related threat substances, specifically explosives. The system will be part of a larger security checkpoint system developed and demonstrated within the FP7 project EFFISEC to aid border police and customs at outer border checks. The laser ionization method of choice is SPI (single photon ionization), but the system also incorporates optional functionalities such as a cold trap and/or a particle concentrator to facilitate detection of minute amounts of explosives. The possibility of using jet-REMPI as a verification means is being scrutinized. Automated functionality and user friendliness is also considered in the demo system development.

  2. Development of a method for the determination of cocaine, cocaethylene and norcocaine in human breast milk using liquid phase microextraction and gas chromatography-mass spectrometry.

    Science.gov (United States)

    Silveira, Gabriela de Oliveira; Belitsky, Íris Tikkanen; Loddi, Silvana; Rodrigues de Oliveira, Carolina Dizioli; Zucoloto, Alexandre Dias; Fruchtengarten, Ligia Veras Gimenez; Yonamine, Mauricio

    2016-08-01

    Most licit and illicit substances consumed by the nursing mother might be excreted in breast milk, which may cause potential short and long term harmful effects for the breastfed infant. The extraction of substances from this matrix represents an analytical challenge due to its high protein and fat content as well as the fact that its composition changes during postpartum period. The aim of the present study was to develop a liquid phase microextraction (LPME) method for detection of the active substances: cocaine (COC), cocaethylene (CE) and norcocaine (NCOC) in human breast milk using gas chromatography-mass spectrometry (GC-MS). Validation was performed working on spiked human breast milk samples. The limits of detection (LOD) and quantification (LOQ) were of 6 and 12ng/mL, respectively, for all analytes. Calibration curves were linear over a concentration range of 12.0ng/mL-1000ng/mL (r(2)=0.99). No interferences were noticed at the retention times of interest. Within-run and between-run precision was always less or equal to 15 as % relative standard deviation, and bias ranged from 3 to 18%. Forty six milk samples were analyzed. Only one sample was confirmed to be COC positive (138ng/mL) and another one presented COC concentration near the LOD (6ng/mL). This method has shown to be a reliable alternative for the determination of cocaine, cocaethylene and norcocaine in human breast milk in the fields of clinical and forensic toxicology. LPME extraction procedure demonstrated to be a rather promising, low cost and environmental-friendly technique for the purpose of this study.

  3. Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

    Science.gov (United States)

    Yom-Tov, Elad; Cox, Ingemar J; McKendry, Rachel A

    2014-01-01

    Background Mass gatherings, such as music festivals and religious events, pose a health care challenge because of the risk of transmission of communicable diseases. This is exacerbated by the fact that participants disperse soon after the gathering, potentially spreading disease within their communities. The dispersion of participants also poses a challenge for traditional surveillance methods. The ubiquitous use of the Internet may enable the detection of disease outbreaks through analysis of data generated by users during events and shortly thereafter. Objective The intent of the study was to develop algorithms that can alert to possible outbreaks of communicable diseases from Internet data, specifically Twitter and search engine queries. Methods We extracted all Twitter postings and queries made to the Bing search engine by users who repeatedly mentioned one of nine major music festivals held in the United Kingdom and one religious event (the Hajj in Mecca) during 2012, for a period of 30 days and after each festival. We analyzed these data using three methods, two of which compared words associated with disease symptoms before and after the time of the festival, and one that compared the frequency of these words with those of other users in the United Kingdom in the days following the festivals. Results The data comprised, on average, 7.5 million tweets made by 12,163 users, and 32,143 queries made by 1756 users from each festival. Our methods indicated the statistically significant appearance of a disease symptom in two of the nine festivals. For example, cough was detected at higher than expected levels following the Wakestock festival. Statistically significant agreement (chi-square test, Pfestival. Conclusions Our work shows the feasibility of creating a public health surveillance system for mass gatherings based on Internet data. The use of multiple data sources and analysis methods was found to be advantageous for rejecting false positives. Further

  4. Detection and monitoring of hypermethylated RASSF1A in serum from patients with metastatic breast cancer

    DEFF Research Database (Denmark)

    Kristiansen, Søren; Nielsen, Dorte; Söletormos, Georg

    2016-01-01

    BACKGROUND: Circulating hypermethylated RASSF1A could be a novel and potential useful marker for monitoring patients with metastatic breast cancer. Technical obstacles include fragmentation of the circulating DNA, fluctuations in the concentration, low concentrations of circulating tumor DNA......, and different locations of methylation in the RASSF1A gene among patients. One common method for detection of hypermethylated genes is sodium bisulfite conversion of non-methylated cytosine to uracil, followed by detection with PCR. However, the method relies on full conversion of all non-methylated cytosines...... of the rare circulating tumor DNA was initially optimized. By analysis of production of PCR amplicons from HpaII- or BstUI-treated DNA isolated from 24 patients with metastatic breast cancer, we located four regions resulting in sensitivities from 63 to 83 %. When examining samples from 24 control subjects...

  5. Breast Imaging after Breast Augmentation with Autologous Tissues

    Energy Technology Data Exchange (ETDEWEB)

    Hwang, Kyu Won; Seo, Bo Kyung; Shim, Eddeum; Song, Sung Eun; Cho, Kyu Ran [Dept. of Radiology, Korea University Anam Hospital, Seoul (Korea, Republic of); Yoon, Eul Sik [Korea University Ansan Hospital, Ansan (Korea, Republic of); Woo, Ok Hee [Dept. of Radiology, Korea University Guro Hospital, Seoul (Korea, Republic of)

    2012-06-15

    The use of autologous tissue transfer for breast augmentation is an alternative to using foreign implant materials. The benefits of this method are the removal of unwanted fat from other body parts, no risk of implant rupture, and the same feel as real breast tissue. However, sometimes there is a dilemma about whether or not to biopsy for calcifications or masses detected after the procedure is completed. The purpose of this study is to illustrate the procedures of breast augmentation with autologous tissues, the imaging features of various complications, and the role of imaging in the diagnosis and management of complications and hidden breast diseases.

  6. Early Detection of Breast Cancer via Multi-plane Correlation Breast Imaging

    Science.gov (United States)

    2008-04-01

    changing the acquisi- tion scheme on the performance of CI and are expected to correlate with the base line detection performance of a clini- cian using...in this study may serve as guide- lines for optimizing the acquisition parameters and dose for any multiprojection imaging system. V. CONCLUSIONS In...improved detection of lung nodules,” Proc. SPIE 5030, 284–297 2003. 8E. Samei, S. A. Stebbins , J. T. Dobbins, and J. Y. Lo, “Multiprojection correlation

  7. Detecting and treating breast cancer resistance to EGFR inhibitors

    Energy Technology Data Exchange (ETDEWEB)

    Moonlee, Sun-Young; Bissell, Mina J.; Furuta, Saori; Meier, Roland; Kenny, Paraic A.

    2016-04-05

    The application describes therapeutic compositions and methods for treating cancer. For example, therapeutic compositions and methods related to inhibition of FAM83A (family with sequence similarity 83) are provided. The application also describes methods for diagnosing cancer resistance to EGFR inhibitors. For example, a method of diagnosing cancer resistance to EGFR inhibitors by detecting increased FAM83A levels is described.

  8. Association between body mass index and risk of breast cancer among females of north India

    OpenAIRE

    2013-01-01

    Background: Worldwide, breast cancer is most common cancer among women. In India and other developing countries, breast carcinoma ranks second only to cervical carcinoma among women. Although studies have been done globally, to find association between BMI and breast cancer, very few studies in India document any such association. Purpose: To find out the association between BMI and breast cancer. Materials and Methods: A Case-control study was done from August 2009 - July 2010 in the wards o...

  9. Margins and outcome of screen-detected breast cancer with extensive in situ component.

    Science.gov (United States)

    Kitchen, Paul R B; Cawson, Jennifer N; Moore, Suzanne E; Hill, Prue A; Barbetti, Toni M; Wilkins, Pamela A; Power, Ann-Marie; Henderson, Michael A

    2006-07-01

    In situ disease surrounding invasive tumours is an important consideration in the management of patients with early breast cancer. This study of screen-detected breast cancers assessed the influence of in situ disease including an extensive in situ component (defined as ductal carcinoma in situ involving more than 25% of the area within the invasive tumour) on surgical management, local recurrence and survival of a group of patients. A total of 595 cases of invasive breast cancer detected at St Vincent's BreastScreen were retrospectively reviewed to determine presence and extent of in situ disease, the surgical procedure and adequacy of excision. Outcome was examined in a cohort of 126 cases. A total of 438 (74%) patients had in situ foci in or around the invasive tumour and 107 (18%) were defined as extensive in situ component (EIC)-positive. The initial procedure was mastectomy in 20% of the cases and breast-conserving surgery in 80% including 18% who underwent further surgery. Re-excision (P = 0.02) or mastectomy (P = 0.01) was more often required in patients with EIC. After definitive local excision, margins were close or involved with invasive disease in 3% but the patients with EIC were more likely to have margins close or involved with in situ disease (16 vs 2%; P = 0.001). There were seven deaths and one local invasive recurrence in the follow-up group and none of the deaths were in patients who were EIC-positive. EIC predicts for a higher rate of re-excision and/or mastectomy. For patients with EIC, there is an acceptably low risk of local recurrence if margins are clear.

  10. Universal Breast Cancer Antigens as Targets Linking Early Detection and Therapeutic Vaccination

    Science.gov (United States)

    2008-09-01

    CYP1B1 ), each overexpressed in >90% of invasive breast cancers but rarely found in normal tissue -- may fill this gap. Such targets, if found at...hTERT and CYP1B1 provide an opportunity for both early detection and cancer vaccination. Objective/Hypothesis: We hypothesize that immunologic responses...in ductal lavage fluid from BRCA1 and BRCA2 mutation carriers The last year has been spent studying genetic polymorphisms in BRCA1 and BRCA2

  11. Optimization of Breast Tomosynthesis Imaging Systems for Computer-Aided Detection

    Science.gov (United States)

    2011-05-01

    digital mammography have been used for over 30 years in the early detection of cancer . The combination of screening and adjuvant therapies have led to...a decrease in the mortality rate from breast cancer [1]. Because mammography projects a three-dimensional object onto a two-dimensional surface...Update from 2009 [25]. A.3. Angle-dependent detector response: Two different detectors were modeled: gadolinium oxysulfide (Gd2O2S) and cesium iodide

  12. Early Detection of Breast Cancer and Recurrence Following Therapy with Magnetic Resonance Imaging and Spectroscopy.

    Science.gov (United States)

    1997-08-01

    reduction in breast cancer mortality with screening (9). Typical screening programs include annual physical examination and mammography, supplemented ...carcinoma. These authors found that three ratios of compounds detected by NMR (the creatine/fat, choline/fat and carnitine /fat ratios) could distinguish...data source. This technique will allow us to look for consistency among values across data sources. Estimates from these sources will be supplemented

  13. Automatic recognition of thermographic examinations for early detection of breast cancer

    Science.gov (United States)

    Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz

    2016-09-01

    This article describes the processing and classification of thermographic examinations taken with device developed by Braster SA. The device records the surface temperature of the breast skin using the liquid crystal matrices. Images are analyzed with the use of machine learning algorithms. The result of classification is available after a few minutes and when it detects suspicious changes patient may be referred for detailed examinations.

  14. The Detection of Earth-mass Planets around Active Stars: The Mass of Kepler-78b

    CERN Document Server

    Hatzes, Artie P

    2014-01-01

    Kepler-78b is a transiting Earth-mass planet in an 8.5 hr orbit discovered by the Kepler Space Mission. We performed an analysis of the published radial velocity measurements for Kepler-78 in order to derive a refined measurement for the planet mass. Kepler-78 is an active star and radial velocity variations due to activity were removed using a Floating Chunk Offset (FCO) method where an orbital solution was made to the data by allowing the velocity offsets of individual nights to vary. We show that if we had no a priori knowledge of the transit period the FCO method used as a periodogram would still have detected Kepler-78b in the radial velocity data. It can thus be effective at finding unknown short-period signals in the presence of significant activity noise. Using the FCO method while keeping the ephemeris and orbital phase fixed to the photometric values and using only data from nights where 6-10 measurements were taken results in a K-amplitude of 1.34 +/- 0.25 m/s. a planet mass of 1.31 +/- 0.24 M_Eart...

  15. Detecting Mass Substructure in Galaxy Clusters: An Aperture Mass Statistic for Gravitational Flexion

    CERN Document Server

    Leonard, Adrienne; Wilkins, Stephen M

    2008-01-01

    Gravitational flexion has recently been introduced as a technique by which one can map out and study substructure in clusters of galaxies. Previous analyses involving flexion have measured the individual galaxy-galaxy flexion signal, or used either parametric techniques or a KSB-type inversion to reconstruct the mass distribution in Abell 1689. In this paper, we present an aperture mass statistic for flexion, and apply it to the lensed images of background galaxies obtained by ray-tracing simulations through a simple analytic mass distribution and through a galaxy cluster from the Millennium simulation. We show that this method is effective at detecting and accurately tracing structure within clusters of galaxies on sub-arcminute scales with high signal-to-noise even using a moderate background source number density and image resolution. In addition, the method provides much more information about both the overall shape and the small-scale structure of a cluster of galaxies than can be achieved through a weak...

  16. The role of the fat mass and obesity associated gene (FTO in breast cancer risk

    Directory of Open Access Journals (Sweden)

    Agarwal Surbhi

    2011-04-01

    Full Text Available Abstract Background Obesity has been shown to increase breast cancer risk. FTO is a novel gene which has been identified through genome wide association studies (GWAS to be related to obesity. Our objective was to evaluate tissue expression of FTO in breast and the role of FTO SNPs in predicting breast cancer risk. Methods We performed a case-control study of 354 breast cancer cases and 364 controls. This study was conducted at Northwestern University. We examined the role of single nucleotide polymorphisms (SNPs of intron 1 of FTO in breast cancer risk. We genotyped cases and controls for four SNPs: rs7206790, rs8047395, rs9939609 and rs1477196. We also evaluated tissue expression of FTO in normal and malignant breast tissue. Results We found that all SNPs were significantly associated with breast cancer risk with rs1477196 showing the strongest association. We showed that FTO is expressed both in normal and malignant breast tissue. We found that FTO genotypes provided powerful classifiers to predict breast cancer risk and a model with epistatic interactions further improved the prediction accuracy with a receiver operating characteristic (ROC curves of 0.68. Conclusion In conclusion we have shown a significant expression of FTO in malignant and normal breast tissue and that FTO SNPs in intron 1 are significantly associated with breast cancer risk. Furthermore, these FTO SNPs are powerful classifiers in predicting breast cancer risk.

  17. Status of mass spectrometric radiocarbon detection at ETHZ

    Energy Technology Data Exchange (ETDEWEB)

    Seiler, Martin; Maxeiner, Sascha; Wacker, Lukas; Synal, Hans-Arno

    2015-10-15

    A prototype of a mass spectrometric radiocarbon detection instrument without accelerator stage was built for the first time and set into operation at ETH Zurich. The system is designed as an experimental platform to optimize performance of {sup 14}C detection at low ion energies and to study the most relevant processes that may limit system performance. The optimized stripper unit incorporates differential pumping to maintain a low gas outflow and a revised tube design to better match the phase space volume of the ion beam at low energies. The system is fully operational and has demonstrated true radiocarbon dating capabilities. The overall beam transmission through the stripper tube is about 40% for the 1{sup +} charge state. Radiocarbon analyses with an overall precision of 0.6% were obtained on a single sample under regular measurement conditions. By analyzing multiple targets of the same sample material an uncertainty level of 0.3% has been reached. The background level corresponds to a radiocarbon age of 40,000 years.

  18. Harnessing Raman spectroimmunoassay for detection of serological breast cancer markers (Conference Presentation)

    Science.gov (United States)

    Barman, Ishan; Li, Ming

    2017-02-01

    Two critical, unmet needs in breast cancer are the early detection of cancer metastasis and recurrence, and the sensitive assessment of temporal changes in tumor burden in response to therapy. The present research is directed towards developing a non-invasive, ultrasensitive and specific tool that provides a comprehensive real-time picture of the metastatic tumor burden and provides a radically new route to address these overarching challenges. As the continuing search for better diagnostic and prognostic clues has shifted away from a singular focus on primary tumor lesions, circulating and disseminated biomarkers have surfaced as attractive candidates due to the intrinsic advantages of a non-invasive, repeatable "liquid biopsy" procedure. However, a reproducible, facile blood-based test for diagnosis and follow-up of breast cancer has yet to be incorporated into a clinical laboratory assay due to the limitations of existing assays in terms of sensitivity, extensive sample processing requirements and, importantly, multiplexing capability. Here, by architecting nano-structured probes for detection of specific molecular species, we engineer a novel plasmon-enhanced Raman spectroscopic platform that offers a paradigmatic shift from the capabilities of today's diagnostic test platforms. Specifically, quantitative single-droplet serum tests reveal ultrasensitive and multiplexed detection of three key breast cancer biomarkers, cancer antigen 15-3 (CA15-3), CA27-29 and carcinoembryonic antigen (CEA), over several order of magnitude range of biomarker concentration and clear segmentation of the sera between normal and metastatic cancer levels.

  19. Topics and sources of memorable breast cancer messages and their impact on prevention and detection behaviors.

    Science.gov (United States)

    Smith, Sandi W; Nazione, Samantha; Laplante, Carolyn; Kotowski, Michael R; Atkin, Charles; Skubisz, Christine M; Stohl, Cynthia

    2009-01-01

    Often, people are able to recall a message on a particular topic for a long period of time. These memorable messages have the ability to influence behavior when they are recalled from memory long after initial exposure. Knowing the topics and sources of the messages that are remembered about breast cancer can improve the efficacy of future breast cancer outreach. To this end, 359 women completed an online survey about memorable breast cancer messages. Most women (60%) recalled a memorable message, described it, identified its source, and noted whether it had resulted in prevention or detection behaviors. Four categories of message topics emerged: early detection (37.3%), awareness (30.9%), treatment (25.8%), and prevention (6%). Furthermore, five categories of sources of these memorable messages were found: media (35.5%), friends (22.2%), family (21.6%), medical professionals (15.2%), and others (5.5%). The media were a major source of all four topics of messages, although family members, friends, and the medical community were major sources for particular message topics as well. Memorable messages originating from medical professionals were substantially more likely to motivate detection behaviors than prevention behaviors. This research demonstrates that message topic and source both play roles in determining message recall as well as in determining how memorable messages impacted behavior.

  20. Breast cancer detection using high-resolution breast PET compared to whole-body PET or PET/CT

    Energy Technology Data Exchange (ETDEWEB)

    Kalinyak, Judith E. [Naviscan Inc., San Diego, CA (United States); Berg, Wendie A. [University of Pittsburgh School of Medicine, Magee-Womens Hospital, Pittsburgh, PA (United States); Schilling, Kathy [Boca Raton Regional Hospital, Boca Raton, FL (United States); Madsen, Kathleen S. [Certus International, Inc., St. Louis, MO (United States); Narayanan, Deepa [Naviscan Inc., San Diego, CA (United States); National Cancer Institute, Bethesda, MD (United States); Tartar, Marie [Scripps Clinic, Scripps Green Hospital, La Jolla, CA (United States)

    2014-02-15

    To compare the performance characteristics of positron emission mammography (PEM) with those of whole-body PET (WBPET) and PET/CT in women with newly diagnosed breast cancer. A total of 178 women consented to PEM for presurgical planning in an IRB-approved protocol and also underwent either WBPET (n = 69) or PET/CT (n = 109) imaging, as per usual care at three centers. Tumor detection sensitivity, positive predictive values, and {sup 18}F-fluorodeoxyglucose (FDG) uptake were compared between the modalities. The effects of tumor size, type, and grade on detection were examined. The chi-squared or Fisher's exact tests were used to compare distributions between groups, and McNemar's test was used to compare distributions for paired data within subject groups, i.e. PEM versus WBPET or PEM versus PET/CT. The mean age of the women was 59 ± 12 years (median 60 years, range 26-89 years), with a mean invasive index tumor size of 1.6 ± 0.8 cm (median 1.5 cm, range 0.5-4.0 cm). PEM detected more index tumors (61/66, 92 %) than WBPET (37/66, 56 %; p < 0.001) or PET/CT (95/109, 87 % vs. 104/109, 95 % for PEM; p < 0.029). Sensitivity for the detection of additional ipsilateral malignancies was also greater with PEM (7/15, 47 %) than with WBPET (1/15, 6.7 %; p = 0.014) or PET/CT (3/23, 13 % vs. 13/23, 57 % for PEM; p = 0.003). Index tumor detection decreased with decreasing invasive tumor size for both WBPET (p = 0.002) and PET/CT (p < 0.001); PEM was not significantly affected (p = 0.20). FDG uptake, quantified in terms of maximum PEM uptake value, was lowest in ductal carcinoma in situ (median 1.5, range 0.7-3.0) and invasive lobular carcinoma (median 1.5, range 0.7-3.4), and highest in grade III invasive ductal carcinoma (median 3.1, range 1.4-12.9). PEM was more sensitive than either WBPET or PET/CT in showing index and additional ipsilateral breast tumors and remained highly sensitive for tumors smaller than 1 cm. (orig.)

  1. Detection of occult metastasis in patients with breast cancer.

    Science.gov (United States)

    Hawes, D; Neville, A M; Cote, R J

    2001-06-01

    The most important factor affecting the outcome of patients with invasive cancer is whether the tumor has spread, either regionally (to regional lymph nodes) or systemically. However, a proportion of patients with no evidence of systemic dissemination will develop recurrent disease after primary "curative" therapy. Clearly, these patients had occult systemic spread of disease that was undetectable by routinely employed methods (careful pathological, clinical, biochemical, and radiological evaluation). In addition, the success of adjuvant therapy is assumed to stem from its ability to eradicate occult metastases before they become clinically evident. Therefore, methods for the detection of occult metastases in patients with the earliest stage of cancer, i.e., prior to detection of metastases by any other clinical or pathological analysis, have received a great deal of attention.

  2. Early Detection of Breast Cancer by Fluorescence Molecular Tomography

    Science.gov (United States)

    2007-07-01

    development of appropriate fluorescence imaging methods for highly reliable and quantitative fluorescence imaging ii ) the establishment and imaging of...Tomography (FMT) is a relatively new optical tomographic imaging approach that capitalizes on the strengths of molecular imaging. It bases detection...The large boxes on Fig.5 b,c indicate the detector FOV. Fig.5 b,c depict FMT ( tomo - synthesis) images in color, obtained with an empirical

  3. Chemical and biological differentiation of three human breast cancer cell types using time-of-flight secondary ion mass spectrometry (TOF-SIMS)

    Energy Technology Data Exchange (ETDEWEB)

    Kulp, K S; Berman, E F; Knize, M G; Shattuck, D L; Nelson, E J; Wu, L; Montgomery, J L; Felton, J S; Wu, K J

    2006-01-09

    We use Time-of-Flight Secondary Ion Mass Spectrometry (TOF-SIMS) to image and classify individual cells based on their characteristic mass spectra. Using statistical data reduction on the large data sets generated during TOF-SIMS analysis, similar biological materials can be differentiated based on a combination of small changes in protein expression, metabolic activity and cell structure. We apply this powerful technique to image and differentiate three carcinoma-derived human breast cancer cell lines (MCF-7, T47D and MDA-MB-231). In homogenized cells, we show the ability to differentiate the cell types as well as cellular compartments (cytosol, nuclear and membrane). These studies illustrate the capacity of TOF-SIMS to characterize individual cells by chemical composition, which could ultimately be applied to detect and identify single aberrant cells within a normal cell population. Ultimately, we anticipate characterizing rare chemical changes that may provide clues to single cell progression within carcinogenic and metastatic pathways.

  4. Analysis on detection rate of breast diseases and influencing factors in women in Zhongshan city%中山市妇女乳腺疾病检出率及影响因素分析

    Institute of Scientific and Technical Information of China (English)

    黄华勇; 林钰叶; 何一雄; 王莹; 肖琳; 彭学鸣; 杨孜; 蔡春芳; 匡晓梅; 何坚庭; 杨彩梅

    2012-01-01

    Objective: To understand the prevalence of female breast diseases in Zhongshan city, and explore the influencing factors of breast diseases. Methods: A. Total of 99 140 women received general investigation of breast diseases in Zhongshan city from 2006 to 2008, and questionnaire survey was conducted, the contents included general situations, history of marriage and pregnancy, history of breast diseases, dietary and living habits, and matrilineal family history of breast cancer. A total of 22 598 women underwent breast ultrasonogra-phy, SPSS 10. 0 software was used for statistical analysis. Results: Among 99 140 women receiving general investigation, 22 598 women underwent breast ultrasonography, the detection rate of breast masses by ultrasonography was 91.22%. The total detection rate of breast diseases (including breast masses, breast hyperplasia, nipple discharge, and so on) was 81. 24%. The influencing factors of breast diseases included age, ways of menopause, menopausal age, number of delivery, and medical history of breast diseases. Conclusion: Breast ultrasonography conducted again in the women with breast palpation score more than three can significantly improve the detection rate of breast diseases, and reduce the cost of breast diseases screening. The women more than 35 years old, menopause because of surgery, older menopausal age, and having medical history of breast diseases should be regarded as key screening population of breast diseases; the incidence oi breast diseases in the women with more children was low, there was a positive correlation.%目的:了解中山市妇女乳腺疾病的患病情况,探讨乳腺疾病的影响因素.方法:2006 ~ 2008年对中山市99140例妇女进行乳腺病普查,并进行问卷调查,包括一般情况、婚育史、乳腺疾病史、饮食生活习惯及母系乳腺癌家族史等.其中22 598例妇女进行了乳腺B超检查,采用SPSS 10.0统计软件进行分析.结果:普查99 140例,其中22 598例妇

  5. Fusion of classifiers for REIS-based detection of suspicious breast lesions

    Science.gov (United States)

    Lederman, Dror; Wang, Xingwei; Zheng, Bin; Sumkin, Jules H.; Tublin, Mitchell; Gur, David

    2011-03-01

    After developing a multi-probe resonance-frequency electrical impedance spectroscopy (REIS) system aimed at detecting women with breast abnormalities that may indicate a developing breast cancer, we have been conducting a prospective clinical study to explore the feasibility of applying this REIS system to classify younger women (biopsy due to findings of a highly suspicious breast lesion ("positives"), and 108 were determined as negative during imaging based procedures ("negatives"). A set of REIS-based features, extracted using a mirror-matched approach, was computed and fed into five machine learning classifiers. A genetic algorithm was used to select an optimal subset of features for each of the five classifiers. Three fusion rules, namely sum rule, weighted sum rule and weighted median rule, were used to combine the results of the classifiers. Performance evaluation was performed using a leave-one-case-out cross-validation method. The results indicated that REIS may provide a new technology to identify younger women with higher than average risk of having or developing breast cancer. Furthermore, it was shown that fusion rule, such as a weighted median fusion rule and a weighted sum fusion rule may improve performance as compared with the highest performing single classifier.

  6. Multiplexed detection of various breast cancer cells by perfluorocarbon/quantum dot nanoemulsions conjugated with antibodies

    Science.gov (United States)

    Bae, Pan Kee; Chung, Bong Hyun

    2014-07-01

    The effective targeting of cancer cell surface antigens is an attractive approach in cancer diagnosis and therapy. Multifunctional nanoprobes with cell-targeting specificity are likely to find important applications in bioanalysis, biomedicine, and clinical diagnosis. In this study, we have fabricated biocompatible perfluorocan/quantum dot nanoemulsions as bimodal imaging nanoprobes for the targeting of breast cancer cells. Perfluorocarbon/quantum dot nanoemulsions conjugated with monoclonal antibodies, as a type of bimodal imaging nanoprobe based on 19 F-MR and optical imaging, have been synthesized and applied for targeted imaging of three different breast cancer cells (SKBR3, MCF-7, MDA-MB 468), respectively. We have shown that the cancer-detection capabilities of antibody-conjugated PFC/QDs nanoemulsions could be successfully applied to target of various breast cancer cells. These modified PFC/QDs nanoemulsions were shown to target the cancer cell surface receptors specially. Conjugation of ligands to nanoemulsions targeting over-expressed cell surface receptors is a promising approach for targeted imaging to tumor cells. We further propose that the PFC/QDs nanoemulsions could be used in targeted imaging of breast cancer cells.

  7. Computer-aided detection in breast MRI: a systematic review and meta-analysis

    Energy Technology Data Exchange (ETDEWEB)

    Dorrius, Monique D.; Weide, Marijke C.J. der; Ooijen, Peter M.A. van; Pijnappel, Ruud M.; Oudkerk, Matthijs [University Medical Center Groningen, Department of Radiology, Center for Medical Imaging, Hanzeplein 1, PO box 30.001, Groningen (Netherlands)

    2011-08-15

    To evaluate the additional value of computer-aided detection (CAD) in breast MRI by assessing radiologists' accuracy in discriminating benign from malignant breast lesions. A literature search was performed with inclusion of relevant studies using a commercially available CAD system with automatic colour mapping. Two independent researchers assessed the quality of the studies. The accuracy of the radiologists' performance with and without CAD was presented as pooled sensitivity and specificity. Of 587 articles, 10 met the inclusion criteria, all of good methodological quality. Experienced radiologists reached comparable pooled sensitivity and specificity before and after using CAD (sensitivity: without CAD: 89%; 95% CI: 78-94%, with CAD: 89%; 95%CI: 81-94%) (specificity: without CAD: 86%; 95% CI: 79-91%, with CAD: 82%; 95% CI: 76-87%). For residents the pooled sensitivity increased from 72% (95% CI: 62-81%) without CAD to 89% (95% CI: 80-94%) with CAD, however, not significantly. Concerning specificity, the results were similar (without CAD: 79%; 95% CI: 69-86%, with CAD: 78%; 95% CI: 69-84%). CAD in breast MRI has little influence on the sensitivity and specificity of experienced radiologists and therefore their interpretation remains essential. However, residents or inexperienced radiologists seem to benefit from CAD concerning breast MRI evaluation. (orig.)

  8. Sentinel node detection and radioguided occult lesion localization in breast cancer.

    Science.gov (United States)

    Trifirò, Guiseppe; Lavinia Travaini, Laura; De Cicco, Concetta; Paganelli, Giovanni

    2006-01-01

    Sentinel lymph node biopsy might replace complete axillary dissection for staging of the axilla in clinically N0 breast cancer patients and represent a significant advantage as a minimally invasive procedure, considering that about 70% of patients are found to be free from metastatic disease, yet axillary node dissection can lead to significant morbidity. In our Institute, Radioguided Occult Lesion Localization is the standard method to locate non-palpable breast lesions and the gamma probes is very effective in assisting intra-operative localization and removal, as in sentinel node biopsy. The rapid spread of sentinel lymph node biopsy has led to its use in clinical settings previously considered contraindications to sentinel lymph node biopsy. In this contest, we evaluated in a large group of patients possible factors affecting sentinel node detection and the reliability of sentinel lymph node biopsy carried out after large excisional breast biopsy. Our data confirm that a previous breast surgery does not prohibit efficient sentinel lymph node localization and sentinel lymph node biopsy can correctly stage the axialla in these patients.

  9. DETECTION OF SBEM-MRNA IN PERIPHERAL BLOOD OF PATIENTS WITH BREAST CANCER AND ITS CLINICAL SIGNIFICANCE

    Institute of Scientific and Technical Information of China (English)

    YANG Hua-Wei; YANG Nan-Wu; CAO Ji; LIU Jian-Lun; ZHANG Chuan-Min; CHEN Jian-Si; JIANG Yi; OU Chao; SU Jian-Jia

    2006-01-01

    Objective: The aim of the present study is to explore the expression of a specific marker of breast cancer, small breast epithelial mucin(SBEM)mRNA, in peripheral blood and to investigate its significance. Methods: The expressions of SBEM-mRNA in peripheral blood of 67 patients with breast cancer, 16 patients with benign breast disease, and 20 normal healthy volunteers were detected with nested reverse transcription-polymerase chain reaction (Nested-RT-PCR). Results: SBEM-mRNA was negative in healthy individuals and patients with benign breast tumor, but 50.7%(34/67) of breast cancer patients showed positive expression of SBEM-mRNA in peripheral blood, of whom 25%(2/8) were in stage I, 45.8%(11/24) in stage II, 43.75%(11/24) in stage III and 73.7(14/19) in stage IV. The positive rate in stage IV was higher than that in stage I, II, III (P<0.05). Expressions of SBEM-mRNA had no correlation with age, carcinoma size, pathological type, ER and PR state (P>0.05). Conclusion: SBEM-mRNA is specifically expressed in breast cancer and it may act as a marker for the detection of micrometastasis of breast cancer.

  10. Circulating micro-RNAs as potential blood-based markers for early stage breast cancer detection.

    Directory of Open Access Journals (Sweden)

    Michael G Schrauder

    Full Text Available INTRODUCTION: MicroRNAs (miRNAs, miRs are a class of small, non-coding RNA molecules with relevance as regulators of gene expression thereby affecting crucial processes in cancer development. MiRNAs offer great potential as biomarkers for cancer detection due to their remarkable stability in blood and their characteristic expression in many different diseases. We investigated whether microarray-based miRNA profiling on whole blood could discriminate between early stage breast cancer patients and healthy controls. METHODS: We performed microarray-based miRNA profiling on whole blood of 48 early stage breast cancer patients at diagnosis along with 57 healthy individuals as controls. This was followed by a real-time semi-quantitative Polymerase Chain Reaction (RT-qPCR validation in a separate cohort of 24 early stage breast cancer patients from a breast cancer screening unit and 24 age matched controls using two differentially expressed miRNAs (miR-202, miR-718. RESULTS: Using the significance level of p<0.05, we found that 59 miRNAs were differentially expressed in whole blood of early stage breast cancer patients compared to healthy controls. 13 significantly up-regulated miRNAs and 46 significantly down-regulated miRNAs in our microarray panel of 1100 miRNAs and miRNA star sequences could be detected. A set of 240 miRNAs that was evaluated by radial basis function kernel support vector machines and 10-fold cross validation yielded a specificity of 78.8%, and a sensitivity of 92.5%, as well as an accuracy of 85.6%. Two miRNAs were validated by RT-qPCR in an independent cohort. The relative fold changes of the RT-qPCR validation were in line with the microarray data for both miRNAs, and statistically significant differences in miRNA-expression were found for miR-202. CONCLUSIONS: MiRNA profiling in whole blood has potential as a novel method for early stage breast cancer detection, but there are still challenges that need to be addressed to

  11. A progressive processing method for breast cancer detection via UWB based on an MRI-derived model

    Science.gov (United States)

    Xiao, Xia; Song, Hang; Wang, Zong-Jie; Wang, Liang

    2014-07-01

    Ultra-wideband (UWB) microwave imaging is a promising method for breast cancer detection based on the large contrast of electric parameters between the malignant tumor and its surrounded normal breast organisms. In the case of multiple tumors being present, the conventional imaging approaches may be ineffective to detect all the tumors clearly. In this paper, a progressive processing method is proposed for detecting more than one tumor. The method is divided into three stages: primary detection, refocusing and image optimization. To test the feasibility of the approach, a numerical breast model is developed based on the realistic magnetic resonance image (MRI). Two tumors are assumed embedded in different positions. Successful detection of a 3.6 mm-diameter tumor at a depth of 42 mm is achieved. The correct information of both tumors is shown in the reconstructed image, suggesting that the progressive processing method is promising for multi-tumor detection.

  12. Breast cancer screening with imaging: recommendations from the Society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer.

    Science.gov (United States)

    Lee, Carol H; Dershaw, D David; Kopans, Daniel; Evans, Phil; Monsees, Barbara; Monticciolo, Debra; Brenner, R James; Bassett, Lawrence; Berg, Wendie; Feig, Stephen; Hendrick, Edward; Mendelson, Ellen; D'Orsi, Carl; Sickles, Edward; Burhenne, Linda Warren

    2010-01-01

    Screening for breast cancer with mammography has been shown to decrease mortality from breast cancer, and mammography is the mainstay of screening for clinically occult disease. Mammography, however, has well-recognized limitations, and recently, other imaging including ultrasound and magnetic resonance imaging have been used as adjunctive screening tools, mainly for women who may be at increased risk for the development of breast cancer. The Society of Breast Imaging and the Breast Imaging Commission of the ACR are issuing these recommendations to provide guidance to patients and clinicians on the use of imaging to screen for breast cancer. Wherever possible, the recommendations are based on available evidence. Where evidence is lacking, the recommendations are based on consensus opinions of the fellows and executive committee of the Society of Breast Imaging and the members of the Breast Imaging Commission of the ACR.

  13. Educational differences in postmenopausal breast cancer--quantifying indirect effects through health behaviors, body mass index and reproductive patterns.

    Science.gov (United States)

    Hvidtfeldt, Ulla Arthur; Lange, Theis; Andersen, Ingelise; Diderichsen, Finn; Keiding, Niels; Prescott, Eva; Sørensen, Thorkild I A; Tjønneland, Anne; Rod, Naja Hulvej

    2013-01-01

    Studying mechanisms underlying social inequality in postmenopausal breast cancer is important in order to develop prevention strategies. Standard methods for investigating indirect effects, by comparing crude models to adjusted, are often biased. We applied a new method enabling the decomposition of the effect of educational level on breast cancer incidence into indirect effects through reproductive patterns (parity and age at first birth), body mass index and health behavior (alcohol consumption, physical inactivity, and hormone therapy use). The study was based on a pooled cohort of 6 studies from the Copenhagen area including 33,562 women (1,733 breast cancer cases) aged 50-70 years at baseline. The crude absolute rate of breast cancer was 399 cases per 100,000 person-years. A high educational level compared to low was associated with 74 (95% CI 22-125) extra breast cancer cases per 100,000 person-years at risk. Of these, 26% (95% CI 14%-69%) could be attributed to alcohol consumption. Similar effects were observed for age at first birth (32%; 95% CI 10%-257%), parity (19%; 95%CI 10%-45%), and hormone therapy use (10%; 95% CI 6%-18%). Educational level modified the effect of physical activity on breast cancer. In conclusion, this analysis suggests that a substantial number of the excess postmenopausal breast cancer events among women with a high educational level compared to a low can be attributed to differences in alcohol consumption, use of hormone therapy, and reproductive patterns. Women of high educational level may be more vulnerable to physical inactivity compared to women of low educational level.

  14. Human mammaglobin: a superior marker for reverse-transcriptase PCR in detecting circulating tumor cells in breast cancer patients.

    Science.gov (United States)

    Li, GuangLiang; Zhang, Jing; Jin, KeTao; He, KuiFeng; Wang, HaoHao; Lu, HaiQi; Teng, LiSong

    2011-04-01

    Breast cancer is the most frequent cancer in women in the USA and the second most common cause of death in females who develop cancer. Recently, the detection of circulating tumor cells has emerged as a promising tool for monitoring the progression of clinically occult micrometastases in breast cancer patients. Sensitive molecular techniques, primarily based upon the reverse-transcriptase PCR, using various molecules as markers, have been developed to detect circulating tumor cells. Among those molecules, human mammaglobin mRNA has been found to be the most specific marker for the hematogenous spread of breast cancer cells. In this article, we review the current knowledge regarding the use of reverse-transcriptase PCR for detecting human mammaglobin mRNA as a biomarker for circulating tumor cells in breast cancer patients, and evaluate the clinical implications of human mammaglobin since it was first isolated in 1996.

  15. Probability of malignancy for lesions detected on breast MRI: a predictive model incorporating BI-RADS imaging features and patient characteristics

    Energy Technology Data Exchange (ETDEWEB)

    DeMartini, Wendy B.; Gutierrez, Robert L.; Peacock, Sue; Lehman, Constance D. [University of Washington Medical Center, Department of Radiology, Seattle, WA (United States); Seattle Cancer Care Alliance, Breast Imaging, Seattle, WA (United States); Kurland, Brenda F. [Fred Hutchinson Cancer Research Center, Clinical Statics, 1100 Fairview Avenue North, PO Box 19024, Seattle, WA (United States); Seattle Cancer Care Alliance, Seattle, WA (United States); Blackmore, C.C. [Virginia Mason Medical Center, Department of Radiology, 1100 9th Avenue, PO Box 900, Seattle, WA (United States)

    2011-08-15

    To predict the probability of malignancy for MRI-detected breast lesions with a multivariate model incorporating patient and lesion characteristics. Retrospective review of 2565 breast MR examinations from 1/03-11/06. BI-RADS 3, 4 and 5 lesions initially detected on MRI for new cancer or high-risk screening were included and outcomes determined by imaging, biopsy or tumor registry linkage. Variables were indication for MRI, age, lesion size, BI-RADS lesion type and kinetics. Associations with malignancy were assessed using generalized estimating equations and lesion probabilities of malignancy were calculated. 855 lesions (155 malignant, 700 benign) were included. Strongest associations with malignancy were for kinetics (washout versus persistent; OR 4.2, 95% CI 2.5-7.1) and clinical indication (new cancer versus high-risk screening; OR 3.0, 95% CI 1.7-5.1). Also significant were age > = 50 years, size > = 10 mm and lesion-type mass. The most predictive model (AUC 0.70) incorporated indication, size and kinetics. The highest probability of malignancy (41.1%) was for lesions on MRI for new cancer, > = 10 mm with washout. The lowest (1.2%) was for lesions on high-risk screening, <10 mm with persistent kinetics. A multivariate model shows promise as a decision support tool in predicting malignancy for MRI-detected breast lesions. (orig.)

  16. Acoustic wave biosensor for the detection of the breast and prostate cancer metastasis biomarker protein PTHrP.

    Science.gov (United States)

    Crivianu-Gaita, Victor; Aamer, Mohamed; Posaratnanathan, Roy T; Romaschin, Alexander; Thompson, Michael

    2016-04-15

    There are currently no biosensors that are able to reliably detect the process of cancer metastasis. We describe the first label-free real-time ultra-high frequency acoustic wave biosensor prototype capable of detecting the breast and prostate cancer metastasis biomarker, parathyroid hormone-related peptide (PTHrP). Two different linkers - 11-trichlorosilyl-undecanoic acid pentafluorophenyl ester (PFP) and S-(11-trichlorosilyl-undecanyl)-benzothiosulfonate (TUBTS) - were used to immobilize whole anti-PTHrP antibodies and Fab' fragments to surfaces as biorecognition elements. The biosensor surfaces were optimized using X-ray photoelectron spectroscopy (XPS) and the ultra-high frequency electromagnetic piezoelectric acoustic sensor (EMPAS). One optimized whole antibody-based surface (PFP/protein G'/whole antibodies/ethanolamine) and one optimized Fab' fragment-based surface (TUBTS/Fab' fragments) were tested as biosensors. It was determined that an in-line injection of bovine serum albumin prior to analyte injection yielded the most minimally fouling surfaces. Each surface was tested with no mass amplification and with sandwich-type secondary antibody mass amplification. The whole antibody-based mass-amplified biosensor yielded the lowest limit of detection (61 ng/mL), highest sensitivity, and a linear range from 61 ng/mL to 100 μg/mL. However, the Fab' fragment-based biosensor displayed better regenerability as a loss of ~20% of the initial analyte signal intensity was observed with each subsequent injection. The whole antibody-based biosensor was only capable of producing an analyte signal in the first injection.

  17. Scintimammography with {sup 99m}Tc-MDP in the detection of primary breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Piccolo, S.; Lastoria, S.; Muto, P.; Bazzicalupo, L.; Bartiromo, A. [National Cancer Institute, Naples (Italy). Dept. of Nuclear Medicine; Salvatore, M. [CNR, Naples (Italy). Center for Nuclear Medicine

    1997-09-01

    Materials and methods. The diagnostic accuracy of scintimammography with {sup 99m}Tc-MDP was evaluated in 400 consecutive women with clinical or mammographic suspicion of breast cancer, candidate to surgery and/or excisional biopsy. Lateral views of both glands were acquired 5-10 min after the injection of 550-740 MBq of {sup 99m}Tc-MDP. The scintigraphic results were compared to mammograms and classified using the histological findings as gold standard. Results. Mammography was suggestive for cancer in 231 (57 %) suspicious in 49 (12 %) and indeterminate in 120 (31 %) patients. Breast carcinoma was histologically proven in 330 women, benign breast diseases in 70. The tumor size ranged from 4 x 5 to 50 x 60 mm. {sup 99m}Tc-MDP visualized as foci of increased uptake 305/330 cancers (92 %). In particular, in women with indeterminate mammograms the SMM had a diagnostic accuracy of 84 % correctly characterizing 101/120 lesions. Twenty missed cancers had largest diameter {<=} 10 mm, 5 {<=} 15 mm. Lack of {sup 99m}Tc-MDP uptake occurred in 64 out of 70 benign lesions. These lesions were classified as truly negative. Conversely, 3 fibroadenoma and 3 epithelial hyperplasia with moderate or severe atypia were falsely positive. The overall specificity was 91.5 %; the accuracy was 92 % the positive and negative predictive values were respectively 98 % and 72 %. Conclusions. The results obtained in this study suggest that {sup 99m}Tc-MDP scintimammography accurately detects breast carcinomas with largest diameter > 10 mm; it differentiates malignant from benign lesions, and it shows promising insights in characterizing breast abnormalities mammographically indeterminate.

  18. Detection of Circulating Tumour Cells from Blood of Breast Cancer Patients via RT-qPCR

    Energy Technology Data Exchange (ETDEWEB)

    Andergassen, Ulrich; Kölbl, Alexandra C.; Hutter, Stefan; Friese, Klaus; Jeschke, Udo, E-mail: udo.jeschke@med.uni-muenchen.de [Department of Obstetrics and Gynaecology, Ludwig Maximilians University of Munich, Munich, Maistrasse 11, D-80337 Munich (Germany)

    2013-09-25

    Breast cancer is still the most frequent cause of cancer-related death in women worldwide. Often death is not caused only by the primary tumour itself, but also by metastatic lesions. Today it is largely accepted, that these remote metastases arise out of cells, which detach from the primary tumour, enter circulation, settle down at secondary sites in the body and are called Circulating Tumour Cells (CTCs). The occurrence of such minimal residual diseases in the blood of breast cancer patients is mostly linked to a worse prognosis for therapy outcome and overall survival. Due to their very low frequency, the detection of CTCs is, still a technical challenge. RT-qPCR as a highly sensitive method could be an approach for CTC-detection from peripheral blood of breast cancer patients. This assumption is based on the fact that CTCs are of epithelial origin and therefore express a different gene panel than surrounding blood cells. For the technical approach it is necessary to identify appropriate marker genes and to correlate their gene expression levels to the number of tumour cells within a sample in an in vitro approach. After that, samples from adjuvant and metastatic patients can be analysed. This approach may lead to new concepts in diagnosis and treatment.

  19. Primary health care nurses’ knowledge practice and client teaching of early detection measures of breast cancer in Ibadan

    Science.gov (United States)

    2012-01-01

    Background Early detection of breast cancer is vital to effective management and outcome of breast cancer. It has been suggested that women given information and instruction about breast self- examination and breast awareness by health care professionals demonstrated higher knowledge and confidence and tend to practice breast self-examination more than those who received information from other sources. Breast Self-Examination (BSE) and Clinical Breast Examination (CBE) have been recommended as Early Detection Measures (EDM) for developing countries. This study evaluated Primary Health Care (PHC) nurses’ knowledge, practice and client teaching of EDM of breast cancer. Methods A descriptive study that utilized stratified random method to select PHC settings for the study. Data was collected from 120 trained nurses in selected settings. This represented 66.3% of total population of PHC nurses (181) in Ibadan. The instrument for data collection was a structured questionnaire that explored the bio data of participants, knowledge, practice and client teaching of EDMs of breast cancer. Ethical approval was obtained from the Ethical Review Committee of Oyo State Ministry of Health, Nigeria. Results The mean age of the participants was 44.4±7.5 years. About half (52.2%) were double qualified (Registered Nurse and Midwife). Only 23 (20.0%) of the participants considered painless lump as an early sign of breast cancer while 47 (40.9%) considered pain as an early sign. BSE was listed as EDM of breast cancer by 80.9% of the participants while 40% and 30% listed CBE and mammogram respectively. Only eight (7.9%) have had a mammogram. The logistic regression of client teaching on four variables showed that for every increase in knowledge of breast cancer the odds of client teaching significantly increased by 7.5% (95% CI = 1.27 - 1.125). There were also significant relationships between knowledge of EDM, practice of BSE and client teaching. Conclusions It is vital that

  20. Detection of adriamycin-DNA adducts by accelerator mass spectrometry.

    Science.gov (United States)

    Coldwell, Kate; Cutts, Suzanne M; Ognibene, Ted J; Henderson, Paul T; Phillips, Don R

    2010-01-01

    There have been many attempts in the past to determine whether significant levels of Adriamycin-DNA adducts form in cells and contribute to the anticancer activity of this agent. Supraclincal drug levels have been required to study drug-DNA adducts because of the lack of sensitivity associated with many of the techniques employed, including liquid scintillation counting of radiolabeled drug. The use of accelerator mass spectrometry (AMS) has provided the first direct evidence of Adriamycin-DNA adduct formation in cells at clinically relevant Adriamycin concentrations. The exceedingly sensitive nature of AMS has enabled over three orders of magnitude increased sensitivity of Adriamycin-DNA adduct detection (compared to liquid scintillation counting) and has revealed adduct formation within an hour of drug treatment. The rigorous protocol required for this approach, together with many notes on the precautions and procedures required in order to ensure that absolute levels of Adriamycin-DNA adducts can be determined with good reproducibility, is outlined in this chapter.

  1. Regarding the detectability and measurement of coronal mass ejections

    Directory of Open Access Journals (Sweden)

    Howard Timothy A.

    2015-01-01

    Full Text Available In this review I discuss the problems associated with the detection and measurement of coronal mass ejections (CMEs. CMEs are important phenomena both scientifically, as they play a crucial role in the evolution of the solar corona, and technologically, as their impact with the Earth leads to severe space weather activity in the form of magnetic storms. I focus on the observation of CMEs using visible white light imagers (coronagraphs and heliospheric imagers, as they may be regarded as the binding agents between different datasets and different models that are used to reconstruct them. Our ability to accurately measure CMEs observed by these imagers is hampered by many factors, from instrumental to geometrical to physical. Following a brief review of the history of CME observation and measurement, I explore the impediments to our ability to measure them and describe possible means for which we may be able to mitigate those impediments. I conclude with a discussion of the claim that we have reached the limit of the information that we can extract from the current generation of white light imagers, and discuss possible ways forward regarding future instrument capabilities.

  2. 高频超声、乳腺X线检查及乳腺血氧功能成像在乳腺肿块诊断中的价值%The clinical value of high frequency ultrasound, mammography and breast blood-oxygen function imaging system in diagnosis of breast masses

    Institute of Scientific and Technical Information of China (English)

    郑一君; 张渊; 单君; 施秀荣; 贾瑱熙; 江泉

    2013-01-01

    Objective To compare the diagnostic value of high frequency ultrasound,mammography and breast blood-oxygen function imaging system in diagnosis of breast masses.Methods The images of 89 breast masses by high frequency ultrasound,mammography and breast blood-oxygen function imaging system were reviewed.The study compared the sensibilities and specificities of the three methods in the masses and analyzed their cause of missed diagnosis.Results The sensitivity of the diagnosis of breast cancer by high frequency ultrasound,mammography and breast blood-oxygen function imaging system were 80.00%,70.00% and 50.00%,respectively.The specificity of the diagnosis of breast cancer by them were 94.94%,98.73% and 97.47%,respectively.There were sigmfiacant differences in diagnosis of breast benign lesion among the high frequency ultrasound,mammography and breast blood-oxygen function imaging system.The sensitivity of high frequency ultrasound in detecting fibroadenoma of breast was 98.11% higher than the other methods.Mammography was insensitive to the benign breast lesions,but its specificity was high.Conclusions High frequency ultrasound,mammography and breast blood-oxygen function imaging system are the highly effective diagnostic tool for breast cancer,but the diagnostic value of mammography and breast blood-oxygen in breast fibroadenoma and in cystic disease of breast aren' t high.Breast blood-oxygen function imaging system can enhance the accuracy of the diagnosis of mammary inflammation.%目的 比较高频超声、乳腺X线检查以及乳腺血氧功能成像在乳腺肿块诊断中的价值.方法 回顾性分析高频超声、乳腺X线检查及乳腺血氧功能成像在89例乳腺肿块中的诊断结果,比较它们诊断各类乳腺病变的敏感性和特异性,并分析漏诊原因.结果 高频超声、乳腺X线检查以及乳腺血氧功能成像对乳腺癌的敏感性分别为80.00%、70.00%、50.00%;特异性分别为94.94%、98.73

  3. Multicenter matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) identifies proteomic differences in breast-cancer-associated stroma.

    Science.gov (United States)

    Dekker, Tim J A; Balluff, Benjamin D; Jones, Emrys A; Schöne, Cédrik D; Schmitt, Manfred; Aubele, Michaela; Kroep, Judith R; Smit, Vincent T H B M; Tollenaar, Rob A E M; Mesker, Wilma E; Walch, Axel; McDonnell, Liam A

    2014-11-07

    MALDI mass spectrometry imaging (MSI) has rapidly established itself as a powerful biomarker discovery tool. To date, no formal investigation has assessed the center-to-center comparability of MALDI MSI experiments, an essential step for it to develop into a new diagnostic method. To test such capabilities, we have performed a multicenter study focused on biomarkers of stromal activation in breast cancer. MALDI MSI experiments were performed in two centers using independent tissue banks, infrastructure, methods, and practitioners. One of the data sets was used for discovery and the other for validation. Areas of intra- and extratumoral stroma were selected, and their protein signals were compared. Four protein signals were found to be significantly associated with tumor-associated stroma in the discovery data set measured in Munich. Three of these peaks were also detected in the independent validation data set measured in Leiden, all of which were also significantly associated with intratumoral stroma. Hierarchical clustering displayed 100% accuracy in the Munich MSI data set and 80.9% accuracy in the Leiden MSI data set. The association of one of the identified mass signals (PA28) with stromal activation was confirmed with immunohistochemistry performed on 20 breast tumors. Independent and international MALDI MSI investigations could identify validated biomarkers of stromal activation.

  4. Breast cancers detected in only one of two arms of a tomosynthesis (3D-mammography) population screening trial (STORM-2).

    Science.gov (United States)

    Bernardi, Daniela; Houssami, Nehmat

    2017-04-01

    The prospective 'screening with tomosynthesis or standard mammography-2 (STORM-2)' trial compared mammography screen-reading strategies and showed that each of integrated 2D/3D-mammography or 2Dsynthetic/3D-mammography detected significantly more breast cancers than 2D-mammography alone. This short report describes 13 (from 90) cancers detected in only one of two parallel double-reading arms implemented in STORM-2. Amongst this subset of cases, the majority was invasive cancer ≤16 mm, mostly depicted as irregular masses or distortions. Furthermore, most were detected at 3D-mammography only and predominantly by one reader from double-reading pairs, highlighting that 3D-mammography may enable detection of cancers that are challenging to perceive at routine screening.

  5. Knowledge of breast cancer and its early detection measures among rural women in Akinyele Local Government Area, Ibadan, Nigeria

    Directory of Open Access Journals (Sweden)

    Oladepo Oladimeji

    2006-11-01

    Full Text Available Abstract Background Breast cancer is the commonest cancer among women in Nigeria and globally. In Nigeria, late presentations of breast cancer cases have also been consistent for three decades. In an environment where there is no established national screening program for breast cancer, it is pertinent to assess the knowledge of breast cancer and its early detection measures. The objective of this study therefore, was to assess rural women's level of knowledge of breast cancer and its early detection measures. Methods The knowledge of various aspects of breast cancer; etiology, early warning signs, treatment modes and early detection measures; was assessed among women in two randomly selected health districts in Akinyele Local Government in Ibadan. The assessment was performed with the use of a self-structured validated questionnaire administered by trained interviewers to 420 women randomly selected from the two health districts. The various aspects of facts about breast cancer were scored and added together to determine respondents' level of knowledge Results The mean score of knowledge of breast cancer was 55.4 SD 5.4 (range of scores obtainable was 26–78, while the mean score for knowledge of early detection of breast cancer was 24.8 SD 2.3 (range of scores obtainable was 12–36. The leading source of information about breast cancer was "elders, neighbors and friends" and 63(15.4% acknowledged this source, while only 18 (4.4% respondents acknowledged health workers as source. Only 54 (13.3% claimed to have heard about breast self- examination (BSE however, and the leading source of information about BSE were health workers. Nine (2.2% of respondents claimed this source. Conclusion This study revealed that respondents lacked knowledge of vital issues about breast cancer and early detection measures. It also revealed that health workers were not forthcoming with information to the public thereby constituting a challenge to community health

  6. High-throughput hacking of the methylation patterns in breast cancer by in vitro transcription and thymidine-specific cleavage mass array on MALDI-TOF silico-chip.

    Science.gov (United States)

    Radpour, Ramin; Haghighi, Mahdi Montazer; Fan, Alex Xiu-Cheng; Torbati, Peyman Mohammadi; Hahn, Sinuhe; Holzgreve, Wolfgang; Zhong, Xiao Yan

    2008-11-01

    Over the last decade, the rapidly expanding interest in the involvement of DNA methylation in developmental mechanisms, human diseases, and malignancies has highlighted the need for an accurate, quantitative, and high-throughput assay. Existing methods are limited and are often too laborious for high-throughput analysis or inadequate for quantitative analysis of methylation. Recently, a MassCLEAVE assay has been developed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry to analyze base-specific methylation patterns after bisulfite conversion. To find an efficient and more cost-effective high-throughput method for analyzing the methylation profile in breast cancer, we developed a method that allows for the simultaneous detection of multiple target CpG residues by using thymidine-specific cleavage mass array on matrix-assisted laser desorption/ionization time-of-flight silicon chips. We used this novel quantitative approach for the analysis of DNA methylation patterns of four tumor suppressor genes in 96 breast tissue samples from 48 patients with breast cancer. Each individual contributed a breast cancer specimen and corresponding adjacent normal tissue. We evaluated the accuracy of the approach and implemented critical improvements in experimental design.

  7. Comparative value of 99mTc-sestamibi scintimammography and sonography in the diagnostic workup of breast masses.

    Science.gov (United States)

    Klaus, A J; Klingensmith, W C; Parker, S H; Stavros, A T; Sutherland, J D; Aldrete, K D

    2000-06-01

    This study was conducted to assess the relative roles of 99mTc-sestamibi scintimammography and sonography in the evaluation of breast lesions that are indeterminate or suspicious on mammography or clinical examination. Twenty-five patients with 33 biopsy-proven breast lesions underwent both scintimammography and sonography. Lesions were categorized as benign or requiring biopsy on the basis of the absence or presence of a focus of increased activity on scintimammography and the shape, orientation, and echogenicity of the lesion on sonography. Sensitivity and specificity in detecting breast cancer were 92% and 95%, respectively, for scintimammography and 100% and 48%, respectively, for sonography. The higher specificity of scintimammography was statistically significant (p < 0.01). Although the overall accuracy of 99mTc-sestamibi scintimammography in the diagnosis of breast cancer was high, it has several disadvantages in comparison with sonography. Scintimammography has a slightly higher false-negative rate for breast cancer, is unable to reveal cysts, is more expensive, takes longer to perform, and involves ionizing radiation. For these reasons, scintimammography with 99mTc-sestamibi is unlikely to either replace sonography or be frequently used in addition to sonography.

  8. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.

    Science.gov (United States)

    Xu, Jun; Xiang, Lei; Liu, Qingshan; Gilmore, Hannah; Wu, Jianzhong; Tang, Jinghai; Madabhushi, Anant

    2016-01-01

    Automated nuclear detection is a critical step for a number of computer assisted pathology related image analysis algorithms such as for automated grading of breast cancer tissue specimens. The Nottingham Histologic Score system is highly correlated with the shape and appearance of breast cancer nuclei in histopathological images. However, automated nucleus detection is complicated by 1) the large number of nuclei and the size of high resolution digitized pathology images, and 2) the variability in size, shape, appearance, and texture of the individual nuclei. Recently there has been interest in the application of "Deep Learning" strategies for classification and analysis of big image data. Histopathology, given its size and complexity, represents an excellent use case for application of deep learning strategies. In this paper, a Stacked Sparse Autoencoder (SSAE), an instance of a deep learning strategy, is presented for efficient nuclei detection on high-resolution histopathological images of breast cancer. The SSAE learns high-level features from just pixel intensities alone in order to identify distinguishing features of nuclei. A sliding window operation is applied to each image in order to represent image patches via high-level features obtained via the auto-encoder, which are then subsequently fed to a classifier which categorizes each image patch as nuclear or non-nuclear. Across a cohort of 500 histopathological images (2200 × 2200) and approximately 3500 manually segmented individual nuclei serving as the groundtruth, SSAE was shown to have an improved F-measure 84.49% and an average area under Precision-Recall curve (AveP) 78.83%. The SSAE approach also out-performed nine other state of the art nuclear detection strategies.

  9. Improved Framework for Breast Cancer Detection using Hybrid Feature Extraction Technique and FFNN

    Directory of Open Access Journals (Sweden)

    Ibrahim Mohamed Jaber Alamin

    2016-10-01

    Full Text Available Breast Cancer early detection using terminologies of image processing is suffered from the less accuracy performance in different automated medical tools. To improve the accuracy, still there are many research studies going on different phases such as segmentation, feature extraction, detection, and classification. The proposed framework is consisting of four main steps such as image preprocessing, image segmentation, feature extraction and finally classification. This paper presenting the hybrid and automated image processing based framework for breast cancer detection. For image preprocessing, both Laplacian and average filtering approach is used for smoothing and noise reduction if any. These operations are performed on 256 x 256 sized gray scale image. Output of preprocessing phase is used at efficient segmentation phase. Algorithm is separately designed for preprocessing step with goal of improving the accuracy. Segmentation method contributed for segmentation is nothing but the improved version of region growing technique. Thus breast image segmentation is done by using proposed modified region growing technique. The modified region growing technique overcoming the limitations of orientation as well as intensity. The next step we proposed is feature extraction, for this framework we have proposed to use combination of different types of features such as texture features, gradient features, 2D-DWT features with higher order statistics (HOS. Such hybrid feature set helps to improve the detection accuracy. For last phase, we proposed to use efficient feed forward neural network (FFNN. The comparative study between existing 2D-DWT feature extraction and proposed HOS-2D-DWT based feature extraction methods is proposed.

  10. Transition from film to digital mammography: Impact for breast cancer screening through the national breast and cervical cancer early detection program

    NARCIS (Netherlands)

    N.T. van Ravesteyn (Nicolien); L. Van Lier (Lisanne); C.B. Schechter (Clyde); D.U. Ekwueme (Donatus U.); J. Royalty (Janet); J.W. Miller (Jacqueline W.); A.M. Near (Aimee); K.A. Cronin (Kathleen); E.A.M. Heijnsdijk (Eveline); J.S. Mandelblatt (Jeanne); H.J. de Koning (Harry)

    2015-01-01

    textabstractIntroduction The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) provides mammograms and diagnostic services for low-income, uninsured women aged 40-64 years. Mammography facilities within the NBCCEDP gradually shifted from plain-film to digital mammography. The pur

  11. Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology.

    Science.gov (United States)

    Irshad, H; Gouaillard, A; Roux, L; Racoceanu, D

    2014-07-01

    Breast cancer is the second most frequent cancer. The reference process for breast cancer prognosis is Nottingham grading system. According to this system, mitosis detection is one of the three important criteria required for grading process and quantifying the locality and prognosis of a tumor. Multispectral imaging, as relatively new to the field of histopathology, has the advantage, over traditional RGB imaging, to capture spectrally resolved information at specific frequencies, across the electromagnetic spectrum. This study aims at evaluating the accuracy of mitosis detection on histopathological multispectral images. The proposed framework includes: selection of spectral bands and focal planes, detection of candidate mitotic regions and computation of morphological and multispectral statistical features. A state-of-the-art of the methods for mitosis classification is also provided. This framework has been evaluated on MITOS multispectral dataset and achieved higher detection rate (67.35%) and F-Measure (63.74%) than the best MITOS contest results (Roux et al., 2013). Our results indicate that the selected multispectral bands have more discriminant information than a single spectral band or all spectral bands for mitotic figures, validating the interest of using multispectral images to improve the quality of the diagnostic in histopathology. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. Mammography use and mode of detection among breast cancer patients in Estonia.

    Science.gov (United States)

    Innos, Kaire; Valvere, Vahur; Padrik, Peeter; Eelma, Evelyn; Kütner, Riina; Lehtsaar, Jaak; Tekkel, Mare

    2016-01-01

    The aim of this study was to examine past mammography use and mode of detection among breast cancer (BC) patients in Estonia, a country that has low screening coverage and high BC mortality. Women newly diagnosed with primary BC in Estonia in 2008-2010 were interviewed. Determinants of past mammography use and the detection of BC by mammography were studied using multivariate logistic regression. Among 977 participants, almost half reported no mammograms prior to the detection of BC. Overall, 22% of the cases were detected by mammography (16% by screening mammography). Detection by mammography was strongly related to age, past mammography use, and obesity. Among cases detected by mammography, 10% were stage III/IV at diagnosis (32% among cases detected by other modes). This study showed low mammography utilization and high rate of self-detection of BC in Estonia. Increased detection by mammography would help diagnose the disease at an earlier stage and consequently avoid premature BC deaths. Efforts should be undertaken to increase participation in screening and improve the availability of mammography among older and high-risk women. The results are likely to be relevant for other countries and population groups with low screening coverage.

  13. Detecting the Neutrinos Mass Hierarchy from Cosmological Data

    CERN Document Server

    Xu, Lixin

    2016-01-01

    We propose a new parameterization to measure the neutrino mass hierarchy, namely $\\Delta=(m_3-m_1)/(m_1+m_3)$ which is dimensionless and varies in the range $[-1,1]$. Taking into account the results of neutrino oscillation experiments, $\\Delta$ is the unique parameter for determining all the masses of neutrinos, and a positive (negative) sign of $\\Delta$ denotes the normal (inverted) mass hierarchy. Adopting the currently available cosmic observations, we find that the normal mass hierarchy is slightly favored, and the mass of lightest neutrino is less than $0.030$ eV for the normal mass hierarchy and $0.024$ eV for the inverted mass hierarchy at $95\\%$ confidence level.

  14. MALDI-mass spectrometric imaging revealing hypoxia-driven lipids and proteins in a breast tumor model

    Energy Technology Data Exchange (ETDEWEB)

    Lu, Jiang; Chughtai, Kamila; Purvine, Samuel O.; Bhujwalla, Zaver M.; Raman, Venu; Pasa-Tolic, Ljiljana; Heeren, Ronald M.; Glunde, Kristine

    2015-06-16

    Hypoxic areas are a common feature of rapidly growing malignant tumors and their metastases, and are typically spatially heterogeneous. Hypoxia has a strong impact on tumor cell biology and contributes to tumor progression in multiple ways. To date, only a few molecular key players in tumor hypoxia, such as for example hypoxia-inducible factor-1 (HIF-1), have been discovered. The distribution of biomolecules is frequently heterogeneous in the tumor volume, and may be driven by hypoxia and HIF-1α. Understanding the spatially heterogeneous hypoxic response of tumors is critical. Mass spectrometric imaging (MSI) provides a unique way of imaging biomolecular distributions in tissue sections with high spectral and spatial resolution. In this paper, breast tumor xenografts grown from MDA-MB-231-HRE-tdTomato cells, with a red fluorescent tdTomato protein construct under the control of a hypoxia response element (HRE)-containing promoter driven by HIF-1α, were used to detect the spatial distribution of hypoxic regions. We elucidated the 3D spatial relationship between hypoxic regions and the localization of small molecules, metabolites, lipids, and proteins by using principal component analysis – linear discriminant analysis (PCA-LDA) on 3D rendered MSI volume data from MDA-MB-231-HRE-tdTomato breast tumor xenografts. In this study we identified hypoxia-regulated proteins active in several distinct pathways such as glucose metabolism, regulation of actin cytoskeleton, protein folding, translation/ribosome, splicesome, the PI3K-Akt signaling pathway, hemoglobin chaperone, protein processing in endoplasmic reticulum, detoxification of reactive oxygen species, aurora B signaling/apoptotic execution phase, the RAS signaling pathway, the FAS signaling pathway/caspase cascade in apoptosis and telomere stress induced senescence. In parallel we also identified co-localization of hypoxic regions and various lipid species such as PC(16:0/18:1), PC(16:0/18:2), PC(18:0/18:1), PC

  15. Variation in Breast Cancer–Risk Factor Associations by Method of Detection: Results From a Series of Case-Control Studies

    OpenAIRE

    Sprague, Brian L.; Gangnon, Ronald E.; Hampton, John M; Egan, Kathleen M.; Titus, Linda J.; Kerlikowske, Karla; Remington, Patrick L.; Newcomb, Polly A.; Trentham-Dietz, Amy

    2015-01-01

    Concerns about breast cancer overdiagnosis have increased the need to understand how cancers detected through screening mammography differ from those first detected by a woman or her clinician. We investigated risk factor associations for invasive breast cancer by method of detection within a series of case-control studies (1992–2007) carried out in Wisconsin, Massachusetts, and New Hampshire (n = 15,648 invasive breast cancer patients and 17,602 controls aged 40–79 years). Approximately half...

  16. Detection of micrometastases in bone marrow and sentinel lymph nodes of breast cancer patients

    Institute of Scientific and Technical Information of China (English)

    Jia Zhao; Xiaoan Liu; Lijun Ling

    2007-01-01

    Objective: To study the sensitivity and clinical significance of HE-staining,IHC and RT-PCR in detecting breast cancer micrometastases in bone marrow and sentinel lymph nodes (SLNs). Methods:After general anesthesia, all patients underwent bone marrow puncture and sentinel lymph node biopsy (SLNB) by 1% isosulfan blue, and then HE-staining,IHC and RT-PCR were used to detect micrometastases. Results:Of 62 patients with breast cancer whose axillary lymph nodes showed negative HE-staining results, 15 cases presented with positive RT-PCR and 9 cases showed positive IHC results positive in bone marrow micrometastases detection. PT-PCR and IHC showed good uniformity(kappa=0.6945)and there was significant difference in detective rate between these two methods (χ2=4.1667,P=0.0412). In SLN samples, 13 showed positive RT-PCR results, while 7 showed positive IHC results. PT-PCR and IHC showed good uniformity (kappa=0.6483)and significant difference was also found in detective rate between these two methods (χ2=4.1667,P=0.0412). Both bone marrow and SLN samples were RT-PCR positive in 3 cases,which indicated that bone marrow micrometastases did not always accompany SLN micrometastases(χ2=0.067,P=0.796). Conclusion: Even if no axillary lymph node involvement or distant metastases are present in routine preoperative examination, micrometastases can still be detected in bone marrow or SLNs. Because the bone marrow micrometastases and axillary node micrometastses are not present simultaneously, combination test of multiple indicators will detect micrometastases more accurately.

  17. Inverse scattering in a Bayesian framework: application to microwave imaging for breast cancer detection

    Science.gov (United States)

    Gharsalli, Leila; Ayasso, Hacheme; Duchêne, Bernard; Mohammad-Djafari, Ali

    2014-11-01

    In this paper, we deal with a nonlinear inverse scattering problem where the goal is to detect breast cancer from measurements of the scattered field that results from the interaction between the breast and a known interrogating wave in the microwave frequency range. Modeling of the wave-object (breast) interaction is tackled through a domain integral representation of the electric field in a 2D-TM configuration. The inverse problem is solved in a Bayesian framework where prior information, which consists in the fact that the object is supposed to be composed of compact homogeneous regions made of a restricted number of different materials, is introduced via a Gauss-Markov-Potts model. As an analytic expression for the joint maximum a posteriori (MAP) estimators yields an intractable solution, an approximation of the latter is proposed. This is done by means of a variational Bayesian approximation (VBA) technique that is adapted to complex-valued contrast and applied to compute the posterior estimators, and reconstruct maps of both permittivity and conductivity of the sought object. This leads to a joint semi-supervised estimation approach, which allows us to estimate the induced currents, the contrast and all of the parameters introduced in the prior model. The method is tested on two sets of synthetic data generated in different configurations and its performances are compared to that given by a contrast source inversion technique.

  18. Predictive potential of photoacoustic spectroscopy in breast tumor detection based on xenograft serum profiles

    Science.gov (United States)

    Priya, Mallika; Chandra, Subhas; Rao, Bola Sadashiva Satish; Ray, Satadru; Mahato, Krishna Kishore

    2015-02-01

    Breast cancer is the second most common cancer all over the world. Heterogeneity in breast cancer makes it a difficult task to detect with the existing serum markers at an early stage. With an aim to detect the disease early at the pre-malignant level, MCF-7 cells xenografts were developed using female nude mice and blood serum were extracted on days 0th, 10th, 15th & 20th post tumor cells injection (N=12 for each time point). Photoacoustic spectra were recorded on the serum samples at 281nm pulsed laser excitations. A total of 144 time domain spectra were recorded from 48 serum samples belonging to 4 different time points. These spectra were then converted into frequency domain (0-1250kHz) using MATLAB algorithms. Subsequently, seven features (mean, median, mode, variance, standard deviation, area under the curve & spectral residuals after 10th degree polynomial fit) were extracted from them and used for PCA. Further, using the first three Principal components (PCs) of the data, Linear Discriminate Analysis has been carried out. The performance of the analysis showed 82.64% accuracy in predicting various time points under study. Further, frequency-region wise analysis was also performed on the data and found 95 - 203.13 kHz region most suitable for the discrimination among the 4 time points. The analysis provided a clear discrimination in most of the spectral features under study suggesting that the photoacoustic technique has the potential to be a diagnostic tool for early detection of breast tumor development

  19. Bioactive hyaluronan fragment (hexasaccharide) detects specific hexa-binding proteins in human breast and stomach cancer: possible role in tumorogenesis.

    Science.gov (United States)

    Srinivas, Prashanth; Kollapalli, Srinivas Prasad; Thomas, Anil; Mortha, Karuna Kumar; Banerjee, Shib Das

    2012-08-01

    Hyaluronan (HA) is a component of extracellular matrix that influences cell-proliferation, migration, development, regeneration, normal tissue remodeling, tissues undergoing malignancy and tumor cell interaction. The widespread occurrence of HA binding proteins, their involvement in tissue organization and the control of cellular behavior are well documented. The low molecular mass HA fragments can also induce a variety of biological events, including chemokine gene expression, transcription factor expression and angiogenesis. It is believed that these fragments are more potent in cellular activities than high molecular mass HA. In this study, we isolated the various fragments by gel permeation chromatography of hyaluronidase digested HA and characterized by fluoro assisted carbohydrate electrophoresis (FACE) and matrix assisted laser desorption ionization analysis (MALDI). Detection and distribution of cellular receptors in invasive tumor tissues for HA polymer and HA fragments were determined both by Western blot and histochemistry. The study demonstrated the overexpression of HA-hexa binding protein in human tumors of breast and stomach and its involvement in tumorogenesis.

  20. Interactive breast mass segmentation using a convex active contour model with optimal threshold values.

    Science.gov (United States)

    Acho, Sussan Nkwenti; Rae, William Ian Duncombe

    2016-10-01

    A convex active contour model requires a predefined threshold value to determine the global solution for the best contour to use when doing mass segmentation. Fixed thresholds or manual tuning of threshold values for optimum mass boundary delineation are impracticable. A proposed method is presented to determine an optimized mass-specific threshold value for the convex active contour derived from the probability matrix of the mass with the particle swarm optimization method. We compared our results with the Chan-Vese segmentation and a published global segmentation model on masses detected on direct digital mammograms. The regional term of the convex active contour model maximizes the posterior partitioning probability for binary segmentation. Suppose the probability matrix is binary thresholded using the particle swarm optimization to obtain a value T1, we define the optimal threshold value for the global minimizer of the convex active contour as the mean intensity of all pixels whose probabilities are greater than T1. The mean Jaccard similarity indices were 0.89±0.07 for the proposed/Chan-Vese method and 0.88±0.06 for the proposed/published segmentation model. The mean Euclidean distance between Fourier descriptors of the segmented areas was 0.05±0.03 for the proposed/Chan-Vese method and 0.06±0.04 for the proposed/published segmentation model. This efficient method avoids problems of initial level set contour placement and contour re-initialization. Moreover, optimum segmentation results are realized for all masses improving on the fixed threshold value of 0.5 proposed elsewhere. Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

  1. On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images.

    Science.gov (United States)

    Aloraidi, Nada A; Sirinukunwattana, Korsuk; Khan, Adnan M; Rajpoot, Nasir M

    2014-01-01

    Mitotic activity is one of the main criteria that pathologists use to decide the grade of the cancer. Computerised mitotic cell detection promises to bring efficiency and accuracy into the grading process. However, detection and classification of mitotic cells in breast cancer histopathology images is a challenging task because of the large intra-class variation in the visual appearance of mitotic cells in various stages of cell division life cycle. In this paper, we test the hypothesis that cells in histopathology images can be effectively represented using cell exemplars derived from sub-images of various kinds of cells in an image for the purposes of mitotic cell classification. We compare three methods for generating exemplar cells. The methods have been evaluated in terms of classification performance on the MITOS dataset. The experimental results demonstrate that eigencells combined with support vector machines produce reasonably high detection accuracy among all the methods.

  2. Computer-aided diagnosis and lipidomics analysis to detect and treat breast cancer

    Science.gov (United States)

    Meyer-Bäse, Anke; Retter, Felix; Steinbrücker, Frank; Görke, Robert; Burgeth, Bernhard; Schlossbauer, Thomas

    2010-04-01

    Multi-modality diagnosis techniques are more and more replacing traditional medical imaging for breast cancer detection. Newly emerging advances in both intelligent cancer detection systems and lipidomics technologies offer an excellent opportunity to detect tumors and to understand regulation at the molecular level in many diseases such as cancer. In this paper, we present a detailed computer-aided diagnosis (CAD) systems combining motion artefact reduction and automated feature extraction and classification, and a novel data mining approach for visualization of gene therapy leading to apoptosis in U87 MG glioblastoma cells, a secondary tumor of breast cancer. The achieved results show that the CAD system represents a robust and integrative tool for reliable small contrast enhancing lesions. Graph-clustering methods are introduced as powerful correlation networks which enable a simultaneous exploration and visualization of co-regulation in glioblastoma data. These new paradigms are providing unique "fingerprints" by revealing how the intricate interactions at the lipidome level can be employed to induce apoptosis (cell death) and are thus opening a new window to biomedical frontiers.

  3. Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.

    Science.gov (United States)

    Drake, Penelope M; Schilling, Birgit; Niles, Richard K; Prakobphol, Akraporn; Li, Bensheng; Jung, Kwanyoung; Cho, Wonryeon; Braten, Miles; Inerowicz, Halina D; Williams, Katherine; Albertolle, Matthew; Held, Jason M; Iacovides, Demetris; Sorensen, Dylan J; Griffith, Obi L; Johansen, Eric; Zawadzka, Anna M; Cusack, Michael P; Allen, Simon; Gormley, Matthew; Hall, Steven C; Witkowska, H Ewa; Gray, Joe W; Regnier, Fred; Gibson, Bradford W; Fisher, Susan J

    2012-04-06

    We used a lectin chromatography/MS-based approach to screen conditioned medium from a panel of luminal (less aggressive) and triple negative (more aggressive) breast cancer cell lines (n=5/subtype). The samples were fractionated using the lectins Aleuria aurantia (AAL) and Sambucus nigra agglutinin (SNA), which recognize fucose and sialic acid, respectively. The bound fractions were enzymatically N-deglycosylated and analyzed by LC-MS/MS. In total, we identified 533 glycoproteins, ∼90% of which were components of the cell surface or extracellular matrix. We observed 1011 glycosites, 100 of which were solely detected in ≥3 triple negative lines. Statistical analyses suggested that a number of these glycosites were triple negative-specific and thus potential biomarkers for this tumor subtype. An analysis of RNaseq data revealed that approximately half of the mRNAs encoding the protein scaffolds that carried potential biomarker glycosites were up-regulated in triple negative vs luminal cell lines, and that a number of genes encoding fucosyl- or sialyltransferases were differentially expressed between the two subtypes, suggesting that alterations in glycosylation may also drive candidate identification. Notably, the glycoproteins from which these putative biomarker candidates were derived are involved in cancer-related processes. Thus, they may represent novel therapeutic targets for this aggressive tumor subtype.

  4. Mitosis detection in breast cancer histological images An ICPR 2012 contest

    Directory of Open Access Journals (Sweden)

    Ludovic Roux

    2013-01-01

    Full Text Available Introduction: In the framework of the Cognitive Microscope (MICO project, we have set up a contest about mitosis detection in images of H and E stained slides of breast cancer for the conference ICPR 2012. Mitotic count is an important parameter for the prognosis of breast cancer. However, mitosis detection in digital histopathology is a challenging problem that needs a deeper study. Indeed, mitosis detection is difficult because mitosis are small objects with a large variety of shapes, and they can thus be easily confused with some other objects or artefacts present in the image. We added a further dimension to the contest by using two different slide scanners having different resolutions and producing red-green-blue (RGB images, and a multi-spectral microscope producing images in 10 different spectral bands and 17 layers Z-stack. 17 teams participated in the study and the best team achieved a recall rate of 0.7 and precision of 0.89. Context: Several studies on automatic tools to process digitized slides have been reported focusing mainly on nuclei or tubule detection. Mitosis detection is a challenging problem that has not yet been addressed well in the literature. Aims: Mitotic count is an important parameter in breast cancer grading as it gives an evaluation of the aggressiveness of the tumor. However, consistency, reproducibility and agreement on mitotic count for the same slide can vary largely among pathologists. An automatic tool for this task may help for reaching a better consistency, and at the same time reducing the burden of this demanding task for the pathologists. Subjects and Methods: Professor Frιdιrique Capron team of the pathology department at Pitiι-Salpκtriθre Hospital in Paris, France, has selected a set of five slides of breast cancer. The slides are stained with H and E. They have been scanned by three different equipments: Aperio ScanScope XT slide scanner, Hamamatsu NanoZoomer 2.0-HT slide scanner and 10 bands

  5. Development of a dedicated positron emission tomography system for the detection and biopsy of breast cancer

    Science.gov (United States)

    Raylman, Raymond R.; Majewski, Stan; Kross, Brian; Popov, Vladimir; Proffitt, James; Smith, Mark F.; Weisenberger, Andrew G.; Wojcik, Randy

    2006-12-01

    Dedicated positron emission mammography breast imaging systems have shown great promise for the detection of small, radiotracer-avid lesions. Our group (a collaboration consisting of West Virginia University, Jefferson Lab and the University of Washington) is extending this work by developing a positron emission mammography-tomography (PEM-PET) system for imaging and biopsy of breast lesions. The system will have four planar detector heads that will rotate about the breast to acquire multi-view data suitable for tomographic reconstruction. Each detector head will consist of a 96×72 array of 2×2×15 mm 3 LYSO detector elements (pitch=2.1 mm) mounted on a 3×4 array of 5×5 cm 2 flat panel position-sensitive photomultiplier tubes. PEM-PET is expected to have approximately two-millimeter resolution and possess the ability to guide the needle biopsy of suspicious lesions seen on the PET images. Initial tests of the scintillator arrays yielded excellent results. Pixel maps for all four scintillator arrays demonstrated that separation of the LYSO elements was very good; all of the LYSO array elements were observed, even in areas between individual PSPMTs. System energy resolution was measured to be 25% FWHM at 511 keV. Future work includes the use of field programmable gate arrays (FPGAs) to replace the current VME-based data acquisition system, a PSPMT gain normalization procedure to help improve response uniformity and energy resolution, and the addition of an x-ray source and detector to produce multi-modality PEM-PET-CT images of the breast.

  6. Collagen fibers mediate MRI-detected water diffusion and anisotropy in breast cancers.

    Science.gov (United States)

    Kakkad, Samata; Zhang, Jiangyang; Akhbardeh, Alireza; Jacob, Desmond; Krishnamachary, Balaji; Solaiyappan, Meiyappan; Jacobs, Michael A; Raman, Venu; Leibfritz, Dieter; Glunde, Kristine; Bhujwalla, Zaver M

    2016-10-01

    Collagen 1 (Col1) fibers play an important role in tumor interstitial macromolecular